Stem rank$ (all stems)

961 papers:

DATE-2015-RahaVRR #approximate #configuration management #energy #performance #quality

Quality configurable reduce-and-rank for energy efficient approximate computing (AR, SV, VR, AR), pp. 665–670.

HT-2015-RoutB #algorithm #dataset #ranking #twitter

A Human-annotated Dataset for Evaluating Tweet Ranking Algorithms (DPR, KB), pp. 95–99.

VLDB-2015-BrancotteYBBDH #analysis #rank

Rank aggregation with ties: Experiments and Analysis (BB, BY, GB, SCB, AD, SH), pp. 1202–1213.

VLDB-2015-MitliagkasBDC #approximate #exclamation #graph #performance #rank

FrogWild! — Fast PageRank Approximations on Graph Engines (IM, MB, AGD, CC), pp. 874–885.

VLDB-2015-MouratidisZP #query #rank

Maximum Rank Query (KM, JZ, HP), pp. 1554–1565.

VLDB-2015-RahmanLT0D #database #privacy #ranking

Privacy Implications of Database Ranking (MFR, WL, ST, NZ, GD), pp. 1106–1117.

VLDB-2015-ShaoC0LX #framework #graph #performance #scalability #similarity

An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs (YS, BC, LC, ML, XX), pp. 838–849.

VLDB-2015-YuM #network #performance #scalability

Efficient Partial-Pairs SimRank Search for Large Networks (WY, JAM), pp. 569–580.

SANER-2015-RahmanR #identification

TextRank based search term identification for software change tasks (MMR, CKR), pp. 540–544.

PLDI-2015-GonnordMR #ranking #synthesis #using

Synthesis of ranking functions using extremal counterexamples (LG, DM, GR), pp. 608–618.

STOC-2015-CohenEMMP #approximate #clustering #rank #reduction

Dimensionality Reduction for k-Means Clustering and Low Rank Approximation (MBC, SE, CM, CM, MP), pp. 163–172.

CHI-2015-VuillemotP #navigation #ranking

Investigating the Direct Manipulation of Ranking Tables for Time Navigation (RV, CP), pp. 2703–2706.

ECIR-2015-FerroS #precise

Rank-Biased Precision Reloaded: Reproducibility and Generalization (NF, GS), pp. 768–780.

ECIR-2015-GebremeskelV #documentation #ranking

Entity-Centric Stream Filtering and Ranking: Filtering and Unfilterable Documents (GGG, APdV), pp. 303–314.

ECIR-2015-MomeniBA #adaptation #ranking #social #social media

Adaptive Faceted Ranking for Social Media Comments (EM, SB, EA), pp. 789–792.

ECIR-2015-NicosiaBM #learning #rank

Learning to Rank Aggregated Answers for Crossword Puzzles (MN, GB, AM), pp. 556–561.

ECIR-2015-PelejaM #learning #retrieval #sentiment

Learning Sentiment Based Ranked-Lexicons for Opinion Retrieval (FP, JM), pp. 435–440.

ICML-2015-AvronH #community #detection #personalisation #rank #using

Community Detection Using Time-Dependent Personalized PageRank (HA, LH), pp. 1795–1803.

ICML-2015-ChenS #rank

Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons (YC, CS), pp. 371–380.

ICML-2015-HazanLM #classification #rank

Classification with Low Rank and Missing Data (EH, RL, YM), pp. 257–266.

ICML-2015-KvetonSWA #learning #rank

Cascading Bandits: Learning to Rank in the Cascade Model (BK, CS, ZW, AA), pp. 767–776.

ICML-2015-ParkNZSD #collaboration #ranking #scalability

Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons (DP, JN, JZ, SS, ISD), pp. 1907–1916.

ICML-2015-PrasadPR #analysis #axiom #rank

Distributional Rank Aggregation, and an Axiomatic Analysis (AP, HHP, PDR), pp. 2104–2112.

ICML-2015-RajkumarGL0 #probability #ranking #set

Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top (AR, SG, LHL, SA), pp. 665–673.

ICML-2015-SibonyCJ #learning #ranking #statistics

MRA-based Statistical Learning from Incomplete Rankings (ES, SC, JJ), pp. 1432–1441.

ICML-2015-TewariC #bound #documentation #fault #learning #matter #question #rank

Generalization error bounds for learning to rank: Does the length of document lists matter? (AT, SC), pp. 315–323.

ICML-2015-UbaruMS #approximate #fault #matrix #rank #using

Low Rank Approximation using Error Correcting Coding Matrices (SU, AM, YS), pp. 702–710.

ICML-2015-XinW #adaptation #probability #rank

Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA (BX, DPW), pp. 419–427.

ICML-2015-YuanHTLC #modelling

Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood (XY, RH, ET, RL, LC), pp. 1254–1263.

ICML-2015-YuCL #learning #multi #online #rank

Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams (RY, DC, YL), pp. 238–247.

ICML-2015-ZhangWJ #algorithm #bound #distributed #estimation #matrix #performance #rank

Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds (YZ, MJW, MIJ), pp. 457–465.

ICML-2015-ZukW #matrix #metric #rank

Low-Rank Matrix Recovery from Row-and-Column Affine Measurements (OZ, AW), pp. 2012–2020.

KDD-2015-ChakrabortyBSPY #classification #framework #learning #named #novel

BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification (SC, VNB, ARS, SP, JY), pp. 99–108.

KDD-2015-FrenoSJA #modelling #ranking #recommendation

One-Pass Ranking Models for Low-Latency Product Recommendations (AF, MS, RJ, CA), pp. 1789–1798.

KDD-2015-FuLPXGZZ #modelling #ranking

Real Estate Ranking via Mixed Land-use Latent Models (YF, GL, SP, HX, YG, HZ, CZ), pp. 299–308.

KDD-2015-HouWGD #clustering #programming #rank

Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming (YH, JJW, DFG, ISD), pp. 427–436.

KDD-2015-OhsakaMK #evolution #network #performance #rank

Efficient PageRank Tracking in Evolving Networks (NO, TM, KiK), pp. 875–884.

KDD-2015-PengKLC #approximate #clustering #rank #using

Subspace Clustering Using Log-determinant Rank Approximation (CP, ZK, HL, QC), pp. 925–934.

KDD-2015-XieBDG #performance #personalisation #rank

Edge-Weighted Personalized PageRank: Breaking A Decade-Old Performance Barrier (WX, DB, AJD, JG), pp. 1325–1334.

MLDM-2015-KrasotkinaM #approach #optimisation #ranking

A Bayesian Approach to Sparse Learning-to-Rank for Search Engine Optimization (OK, VM), pp. 382–394.

RecSys-2015-Steck #matrix #ranking

Gaussian Ranking by Matrix Factorization (HS), pp. 115–122.

SIGIR-2015-HeBVAR #evaluation #framework #predict #quality #ranking #refinement

Untangling Result List Refinement and Ranking Quality: a Framework for Evaluation and Prediction (JH, MB, APdV, LA, MdR), pp. 293–302.

SIGIR-2015-Li #image #interactive #ranking #reachability #retrieval

Reachability based Ranking in Interactive Image Retrieval (JL), pp. 867–870.

SIGIR-2015-LiCLPK #named #ranking #recommendation

Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation (XL, GC, XL, TANP, SK), pp. 433–442.

SIGIR-2015-LuccheseNOPT #documentation #ranking

Speeding up Document Ranking with Rank-based Features (CL, FMN, SO, RP, NT), pp. 895–898.

SIGIR-2015-LuccheseNOPTV #algorithm #documentation #named #performance #rank

QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees (CL, FMN, SO, RP, NT, RV), pp. 73–82.

SIGIR-2015-MehrotraY #learning #query #rank #using

Representative & Informative Query Selection for Learning to Rank using Submodular Functions (RM, EY), pp. 545–554.

SIGIR-2015-PetriM #cost analysis #on the #ranking

On the Cost of Phrase-Based Ranking (MP, AM), pp. 931–934.

SIGIR-2015-ReinandaMR #aspect-oriented #mining #ranking #recommendation

Mining, Ranking and Recommending Entity Aspects (RR, EM, MdR), pp. 263–272.

SIGIR-2015-SeverynM #learning #network #rank

Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks (AS, AM), pp. 373–382.

SIGIR-2015-ShokouhiG #query #ranking #recommendation

From Queries to Cards: Re-ranking Proactive Card Recommendations Based on Reactive Search History (MS, QG), pp. 695–704.

SIGIR-2015-TanWX #matrix #multi #summary #topic

Joint Matrix Factorization and Manifold-Ranking for Topic-Focused Multi-Document Summarization (JT, XW, JX), pp. 987–990.

SIGIR-2015-TranTCN #optimisation #random #ranking #web

A Random Walk Model for Optimization of Search Impact in Web Frontier Ranking (GT, AT, BBC, WN), pp. 153–162.

SIGIR-2015-TrevisiolABB #problem #ranking

Local Ranking Problem on the BrowseGraph (MT, LMA, PB, RB), pp. 173–182.

SIGIR-2015-XuWW #collaboration #personalisation #ranking #recommendation #semantics

Personalized Semantic Ranking for Collaborative Recommendation (SX, SW, LW), pp. 971–974.

SAC-2015-DominguesSBMPR #metadata #multi #personalisation #ranking #recommendation

Applying multi-view based metadata in personalized ranking for recommender systems (MAD, CVS, FMMB, MGM, MGCP, SOR), pp. 1105–1107.

CAV-2015-Ben-AmramG #complexity #ranking

Complexity of Bradley-Manna-Sipma Lexicographic Ranking Functions (AMBA, SG), pp. 304–321.

CSL-2015-GradelP #exclamation #logic #rank

Rank Logic is Dead, Long Live Rank Logic! (EG, WP), pp. 390–404.

ASE-2014-YeXZC #ranking #retrieval

Interrogative-guided re-ranking for question-oriented software text retrieval (TY, BX, YZ, XC), pp. 115–120.

CASE-2014-ShiWS #approximate #matrix

Approximation method to rank-one binary matrix factorization (ZS, LW, LS), pp. 800–805.

DocEng-2014-WilliamsCG #ranking

Classifying and ranking search engine results as potential sources of plagiarism (KW, HHC, CLG), pp. 97–106.

DRR-2014-JainOD #documentation #image #retrieval #scalability #using

Scalable ranked retrieval using document images (RJ, DWO, DSD), p. ?–15.

SIGMOD-2014-KusumotoMK #scalability #similarity

Scalable similarity search for SimRank (MK, TM, KiK), pp. 325–336.

SIGMOD-2014-TaoL #performance #similarity

Efficient top-K SimRank-based similarity join (WT, GL), pp. 1603–1604.

VLDB-2014-MaeharaAIK #graph #personalisation #rank

Computing Personalized PageRank Quickly by Exploiting Graph Structures (TM, TA, YI, KiK), pp. 1023–1034.

VLDB-2014-NtarmosPT #database #query #rank

Rank Join Queries in NoSQL Databases (NN, IP, PT), pp. 493–504.

VLDB-2014-ZhangJK #query

Reverse k-Ranks Query (ZZ, CJ, QK), pp. 785–796.

VLDB-2015-FujiwaraIKO14 #image #ranking #retrieval #scalability

Scaling Manifold Ranking Based Image Retrieval (YF, GI, SK, MO), pp. 341–352.

VLDB-2015-TaoYL14 #performance #similarity

Efficient Top-K SimRank-based Similarity Join (WT, MY, GL), pp. 317–328.

ESOP-2014-SlepakSM #morphism #polymorphism #rank

An Array-Oriented Language with Static Rank Polymorphism (JS, OS, PM), pp. 27–46.

ESOP-2014-UrbanM #abstract domain #ranking

An Abstract Domain to Infer Ordinal-Valued Ranking Functions (CU, AM), pp. 412–431.

TACAS-2014-LeikeH #linear #ranking

Ranking Templates for Linear Loops (JL, MH), pp. 172–186.

CSMR-WCRE-2014-MondalRS #automation #mining #ranking #refactoring

Automatic ranking of clones for refactoring through mining association rules (MM, CKR, KAS), pp. 114–123.

ICPC-2014-SouzaCM #development #ranking

Ranking crowd knowledge to assist software development (LBLdS, ECC, MdAM), pp. 72–82.

ICSME-2014-BinkleyL #information retrieval #learning #rank

Learning to Rank Improves IR in SE (DB, DJL), pp. 441–445.

ICSME-2014-XuanM #fault #learning #locality #metric #multi #ranking

Learning to Combine Multiple Ranking Metrics for Fault Localization (JX, MM), pp. 191–200.

MSR-2014-HanamTHL #ranking #static analysis

Finding patterns in static analysis alerts: improving actionable alert ranking (QH, LT, RH, PL), pp. 152–161.

MSR-2014-MondalRS #co-evolution #predict #ranking

Prediction and ranking of co-change candidates for clones (MM, CKR, KAS), pp. 32–41.

STOC-2014-Lovett #bound #communication #rank

Communication is bounded by root of rank (SL), pp. 842–846.

STOC-2014-Mehta #constant #game studies #rank

Constant rank bimatrix games are PPAD-hard (RM), pp. 545–554.

ICALP-v1-2014-GavinskyL #reduction

En Route to the Log-Rank Conjecture: New Reductions and Equivalent Formulations (DG, SL), pp. 514–524.

ICALP-v1-2014-KolMSY #approximate #bound #rank

Approximate Nonnegative Rank Is Equivalent to the Smooth Rectangle Bound (GK, SM, AS, AY), pp. 701–712.

ICALP-v1-2014-TulsianiWZ #game studies #graph #parallel #rank

Optimal Strong Parallel Repetition for Projection Games on Low Threshold Rank Graphs (MT, JW, YZ), pp. 1003–1014.

CHI-2014-PerinVF #exclamation #navigation #ranking

A table!: improving temporal navigation in soccer ranking tables (CP, RV, JDF), pp. 887–896.

CIKM-2014-ArguelloC #behaviour #rank

The Effects of Vertical Rank and Border on Aggregated Search Coherence and Search Behavior (JA, RGC), pp. 539–548.

CIKM-2014-BellaachiaA #multi #ranking #summary

Multi-document Hyperedge-based Ranking for Text Summarization (AB, MAD), pp. 1919–1922.

CIKM-2014-CamposDJN #named #query

GTE-Rank: Searching for Implicit Temporal Query Results (RC, GD, AMJ, CN), pp. 2081–2083.

CIKM-2014-DeveaudAMO #learning #on the #rank

On the Importance of Venue-Dependent Features for Learning to Rank Contextual Suggestions (RD, MDA, CM, IO), pp. 1827–1830.

CIKM-2014-FangQHZ #bibliography #composition #ranking #sentiment #summary #using

Ranking Sentiment Explanations for Review Summarization Using Dual Decomposition (LF, QQ, MH, XZ), pp. 1931–1934.

CIKM-2014-LiangRWMR #microblog #rank

Time-Aware Rank Aggregation for Microblog Search (SL, ZR, WW, EM, MdR), pp. 989–998.

CIKM-2014-LimsopathamMO #modelling #multi #ranking #towards

Modelling Relevance towards Multiple Inclusion Criteria when Ranking Patients (NL, CM, IO), pp. 1639–1648.

CIKM-2014-LiuYGS #feedback #graph #pseudo #ranking #recommendation

Meta-Path-Based Ranking with Pseudo Relevance Feedback on Heterogeneous Graph for Citation Recommendation (XL, YY, CG, YS), pp. 121–130.

CIKM-2014-ProkofyevMGDC #fault #ranking

Correct Me If I’m Wrong: Fixing Grammatical Errors by Preposition Ranking (RP, RM, MG, GD, PCM), pp. 331–340.

CIKM-2014-ShiWLYW #clustering #network

Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection (CS, RW, YL, PSY, BW), pp. 699–708.

CIKM-2014-VouzoukidouAC #named #query #ranking #realtime

MeowsReader: Real-Time Ranking and Filtering of News with Generalized Continuous Top-k Queries (NV, BA, VC), pp. 2066–2068.

CIKM-2014-WangWLW #classification #concept #ranking

Concept-based Short Text Classification and Ranking (FW, ZW, ZL, JRW), pp. 1069–1078.

CIKM-2014-Wu0LJ #constraints #optimisation #ranking

Ranking Optimization with Constraints (FW, JX, HL, XJ), pp. 1049–1058.

CIKM-2014-ZhangKLCY #approach #named #scalability

NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites (JZ, XK, RJL, YC, PSY), pp. 709–718.

CIKM-2014-ZhaoMK #collaboration #personalisation #ranking #social

Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering (TZ, JJM, IK), pp. 261–270.

CIKM-2014-ZhukovskiyGS #rank

Supervised Nested PageRank (MZ, GG, PS), pp. 1059–1068.

ECIR-2014-ChenWHY #modelling #personalisation #ranking #social #social media

Facet-Based User Modeling in Social Media for Personalized Ranking (CC, DW, CH, XY), pp. 443–448.

ECIR-2014-NainiA #feature model #learning #rank

Exploiting Result Diversification Methods for Feature Selection in Learning to Rank (KDN, ISA), pp. 455–461.

ECIR-2014-YatesGF

Relevance-Ranked Domain-Specific Synonym Discovery (AY, NG, OF), pp. 124–135.

ICML-c1-2014-RajkumarA #algorithm #convergence #rank #statistics

A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data (AR, SA), pp. 118–126.

ICML-c1-2014-SoufianiPX #modelling #parametricity #ranking

Computing Parametric Ranking Models via Rank-Breaking (HAS, DCP, LX), pp. 360–368.

ICML-c2-2014-BenavoliCMZR #process

A Bayesian Wilcoxon signed-rank test based on the Dirichlet process (AB, GC, FM, MZ, FR), pp. 1026–1034.

ICML-c2-2014-Busa-FeketeHS #elicitation #modelling #rank #statistics #using

Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows (RBF, EH, BS), pp. 1071–1079.

ICML-c2-2014-ClemenconR #ranking

Anomaly Ranking as Supervised Bipartite Ranking (SC, SR), pp. 343–351.

ICML-c2-2014-HaeffeleYV #algorithm #image #matrix #rank

Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing (BDH, EY, RV), pp. 2007–2015.

ICML-c2-2014-LimL #learning #metric #performance #ranking

Efficient Learning of Mahalanobis Metrics for Ranking (DL, GRGL), pp. 1980–1988.

ICML-c2-2014-PapailiopoulosMDC #optimisation #rank

Finding Dense Subgraphs via Low-Rank Bilinear Optimization (DSP, IM, AGD, CC), pp. 1890–1898.

ICML-c2-2014-RaiWGCDC #composition #multi #rank #scalability

Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors (PR, YW, SG, GC, DBD, LC), pp. 1800–1808.

ICML-c2-2014-WangLLFDY #matrix

Rank-One Matrix Pursuit for Matrix Completion (ZW, MJL, ZL, WF, HD, JY), pp. 91–99.

ICPR-2014-ChenH #composition #detection

Implicit Rank-Sparsity Decomposition: Applications to Saliency/Co-saliency Detection (YLC, CTH), pp. 2305–2310.

ICPR-2014-DengHXC #analysis #composition #matrix #rank

Sparse and Low Rank Matrix Decomposition Based Local Morphological Analysis and Its Application to Diagnosis of Cirrhosis Livers (JD, XHH, GX, YWC), pp. 3363–3368.

ICPR-2014-GaurM #image #ranking

Ranking Images Based on Aesthetic Qualities (AG, KM), pp. 3410–3415.

ICPR-2014-ManzatoDMR #feedback #personalisation #ranking #recommendation #topic

Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback (MGM, MAD, RMM, SOR), pp. 3696–3701.

ICPR-2014-QuachDB #approximate #rank #recognition #representation #robust

Sparse Representation and Low-Rank Approximation for Robust Face Recognition (KGQ, CND, TDB), pp. 1330–1335.

ICPR-2014-TaoIWS #approximate #data transformation #rank #representation

Ensemble Manifold Structured Low Rank Approximation for Data Representation (LT, HHSI, YW, XS), pp. 744–749.

ICPR-2014-WuTS #3d #learning #rank

Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data (JW, RT, LGS), pp. 460–464.

ICPR-2014-YangLLZ #consistency #geometry #image #rank

Low Rank Global Geometric Consistency for Partial-Duplicate Image Search (LY, YL, ZL, HZ), pp. 3939–3944.

KDD-2014-AgarwalCGHHIKMSSZ #process #ranking

Activity ranking in LinkedIn feed (DA, BCC, RG, JH, QH, AI, SK, YM, PS, AS, LZ), pp. 1603–1612.

KDD-2014-ChenC #incremental #named #rank #set

LWI-SVD: low-rank, windowed, incremental singular value decompositions on time-evolving data sets (XC, KSC), pp. 987–996.

KDD-2014-FuXGYZZ #clustering #dependence #ranking

Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering (YF, HX, YG, ZY, YZ, ZHZ), pp. 1047–1056.

KDD-2014-LiWW #matrix #rank #testing

Improved testing of low rank matrices (YL, ZW, DPW), pp. 691–700.

KDD-2014-MaeharaKK #performance

Efficient SimRank computation via linearizationPublication of this article pending inquiry (TM, MK, KiK), pp. 1426–1435.

KDD-2014-NiTFZ #network #ranking

Inside the atoms: ranking on a network of networks (JN, HT, WF, XZ), pp. 1356–1365.

KDD-2014-ParkG #algorithm #health #named #rank #re-engineering

LUDIA: an aggregate-constrained low-rank reconstruction algorithm to leverage publicly released health data (YP, JG), pp. 55–64.

KDD-2014-ZhouC #adaptation #documentation #learning #rank

Unifying learning to rank and domain adaptation: enabling cross-task document scoring (MZ, KCCC), pp. 781–790.

KDIR-2014-MeguebliKDP #ranking #social

Exploiting Social Debates for Opinion Ranking (YM, MK, BLD, FP), pp. 250–260.

KDIR-2014-PlansangketG #evaluation #performance #query #retrieval #state of the art

Performance Evaluation of State-of-the-Art Ranked Retrieval Methods and Their Combinations for Query Suggestion (SP, JQG), pp. 141–148.

RecSys-2014-LercheJ #feedback #personalisation #ranking #using

Using graded implicit feedback for bayesian personalized ranking (LL, DJ), pp. 353–356.

RecSys-2014-PedroK #collaboration #recommendation

Question recommendation for collaborative question answering systems with RankSLDA (JSP, AK), pp. 193–200.

RecSys-2014-SuiB #feedback #online #rank #recommendation

Clinical online recommendation with subgroup rank feedback (YS, JWB), pp. 289–292.

RecSys-2014-XuPA #predict #ranking #recommendation

Controlled experimentation in recommendations, ranking & response prediction (YX, RP, JA), p. 389.

SEKE-2014-GaoKN #estimation #learning #quality #ranking

Comparing Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation (KG, TMK, AN), pp. 280–285.

SIGIR-2014-ArakiC #ranking #similarity #validation

An annotation similarity model in passage ranking for historical fact validation (JA, JC), pp. 1111–1114.

SIGIR-2014-BabbarPGA #approach #classification #distributed #ranking #scalability

Re-ranking approach to classification in large-scale power-law distributed category systems (RB, IP, ÉG, MRA), pp. 1059–1062.

SIGIR-2014-CaiLR #documentation #matrix #personalisation #probability #ranking

Personalized document re-ranking based on Bayesian probabilistic matrix factorization (FC, SL, MdR), pp. 835–838.

SIGIR-2014-CanCM #feedback #modelling #ranking

Incorporating query-specific feedback into learning-to-rank models (EFC, WBC, RM), pp. 1035–1038.

SIGIR-2014-ChengSHCC #named #ranking #self

IMRank: influence maximization via finding self-consistent ranking (SC, HS, JH, WC, XC), pp. 475–484.

SIGIR-2014-CostaCS #learning #modelling #ranking

Learning temporal-dependent ranking models (MC, FMC, MJS), pp. 757–766.

SIGIR-2014-NiuLGCG #data analysis #learning #rank #robust #what

What makes data robust: a data analysis in learning to rank (SN, YL, JG, XC, XG), pp. 1191–1194.

SIGIR-2014-PelejaSM #analysis #sentiment

Reputation analysis with a ranked sentiment-lexicon (FP, JS, JM), pp. 1207–1210.

SIGIR-2014-QiuCYLL #learning #personalisation #ranking

Item group based pairwise preference learning for personalized ranking (SQ, JC, TY, CL, HL), pp. 1219–1222.

SIGIR-2014-RoitmanHK #using

Using the cross-entropy method to re-rank search results (HR, SH, OK), pp. 839–842.

SIGIR-2014-TangJY #optimisation #ranking #runtime

Cache-conscious runtime optimization for ranking ensembles (XT, XJ, TY), pp. 1123–1126.

SIGIR-2014-YuM #graph #named

Sig-SR: SimRank search over singular graphs (WY, JAM), pp. 859–862.

SIGIR-2014-YuWZTSZ #learning #rank

Hashing with List-Wise learning to rank (ZY, FW, YZ, ST, JS, YZ), pp. 999–1002.

SIGIR-2014-ZhangLY #documentation #ranking

A POMDP model for content-free document re-ranking (SZ, JL, HY), pp. 1139–1142.

SAC-2014-BasuCKVMM #named

PrefRank: fair aggregation of subjective user preferences (AB, JCC, SK, JV, SM, YM), pp. 287–288.

SAC-2014-KimLSKL #approach #named #ranking #web

C-Rank: a contribution-based web page ranking approach (DJK, SCL, HYS, SWK, JBL), pp. 908–912.

SAC-2014-MitranCB #automation #image #ranking

GeoTime-based tag ranking model for automatic image annotation (MM, GC, MB), pp. 896–901.

SAC-2014-RanaKS #algorithm #evaluation #ranking #social

The strength of social strength: an evaluation study of algorithmic versus user-defined ranking (JR, JK, KS), pp. 658–659.

FSE-2014-YeBL #debugging #learning #rank #using

Learning to rank relevant files for bug reports using domain knowledge (XY, RCB, CL), pp. 689–699.

PPoPP-2014-MalekiMM #convergence #programming #rank

Parallelizing dynamic programming through rank convergence (SM, MM, TM), pp. 219–232.

VMCAI-2014-Masse #policy #ranking #termination

Policy Iteration-Based Conditional Termination and Ranking Functions (DM), pp. 453–471.

ICDAR-2013-ZhangLSM #invariant #rank

Rectification of Optical Characters as Transform Invariant Low-Rank Textures (XZ, ZL, FS, YM), pp. 393–397.

SIGMOD-2013-FujiwaraNSMO #ad hoc #performance #personalisation #rank

Efficient ad-hoc search for personalized PageRank (YF, MN, HS, TM, MO), pp. 445–456.

VLDB-2013-EftekharK #clustering #data flow #ranking

Partitioning and Ranking Tagged Data Sources (ME, NK), pp. 229–240.

VLDB-2013-Thirumuruganathan0D #database #rank #web

Rank Discovery From Web Databases (ST, NZ, GD), pp. 1582–1593.

VLDB-2013-ZhengZF0Z #graph #performance #scalability #similarity

Efficient SimRank-based Similarity Join Over Large Graphs (WZ, LZ, YF, LC, DZ), pp. 493–504.

VLDB-2013-ZhuFCY #approximate #incremental #personalisation #rank

Incremental and Accuracy-Aware Personalized PageRank through Scheduled Approximation (FZ, YF, KCCC, JY), pp. 481–492.

SAS-2013-Urban #abstract domain #ranking

The Abstract Domain of Segmented Ranking Functions (CU), pp. 43–62.

STOC-2013-AlonLSV #algorithm #approximate #matrix #rank

The approximate rank of a matrix and its algorithmic applications: approximate rank (NA, TL, AS, SV), pp. 675–684.

STOC-2013-ClarksonW #approximate #rank

Low rank approximation and regression in input sparsity time (KLC, DPW), pp. 81–90.

STOC-2013-JainNS #matrix #rank #using

Low-rank matrix completion using alternating minimization (PJ, PN, SS), pp. 665–674.

ICALP-v1-2013-KumarMN #bound

Arithmetic Circuit Lower Bounds via MaxRank (MK, GM, JS), pp. 661–672.

ICFP-2013-DunfieldK #bidirectional #morphism #polymorphism #rank

Complete and easy bidirectional typechecking for higher-rank polymorphism (JD, NRK), pp. 429–442.

OCSC-2013-Butler #game studies #ranking

The Effect of Leaderboard Ranking on Players’ Perception of Gaming Fun (CB), pp. 129–136.

CIKM-2013-LanNGC #question #ranking

Is top-k sufficient for ranking? (YL, SN, JG, XC), pp. 1261–1270.

CIKM-2013-LiuN #ranking

A phased ranking model for question answering (RL, EN), pp. 79–88.

CIKM-2013-MengK #network

Discovering influential authors in heterogeneous academic networks by a co-ranking method (QM, PJK), pp. 1029–1036.

CIKM-2013-MorishimaYTSK #dependence #performance #ranking #web

Efficient filtering and ranking schemes for finding inclusion dependencies on the web (AM, EY, MT, SS, HK), pp. 763–768.

CIKM-2013-StrotgenG #proximity #query #ranking

Proximity2-aware ranking for textual, temporal, and geographic queries (JS, MG), pp. 739–744.

CIKM-2013-TeymorianFM #distributed #energy #query

Rank-energy selective query forwarding for distributed search systems (AYT, OF, MAM), pp. 389–398.

CIKM-2013-ZhuXGC #detection #mobile #perspective #ranking

Ranking fraud detection for mobile apps: a holistic view (HZ, HX, YG, EC), pp. 619–628.

ECIR-2013-AsadiL #documentation #modelling #performance #ranking

Training Efficient Tree-Based Models for Document Ranking (NA, JL), pp. 146–157.

ECIR-2013-DangBC #information retrieval #learning #rank

Two-Stage Learning to Rank for Information Retrieval (VD, MB, WBC), pp. 423–434.

ECIR-2013-JuMJ #classification #learning #rank

Learning to Rank from Structures in Hierarchical Text Classification (QJ, AM, RJ), pp. 183–194.

ECIR-2013-LeelanupabZJ #question #rank

Is Intent-Aware Expected Reciprocal Rank Sufficient to Evaluate Diversity? (TL, GZ, JMJ), pp. 738–742.

ECIR-2013-NguyenTT #classification #learning #rank #using

Folktale Classification Using Learning to Rank (DN, DT, MT), pp. 195–206.

ECIR-2013-RichardsonC #distributed

Ranked Accuracy and Unstructured Distributed Search (SR, IJC), pp. 171–182.

ECIR-2013-SantosCSM #image #multimodal #ranking

Multimodal Re-ranking of Product Image Search Results (JMdS, JMBC, PCS, ESdM), pp. 62–73.

ECIR-2013-ThollardQ #image #ranking

Content-Based Re-ranking of Text-Based Image Search Results (FT, GQ), pp. 618–629.

ECIR-2013-TsaiW #ranking

Risk Ranking from Financial Reports (MFT, CJW), pp. 804–807.

ECIR-2013-XiaoXE #named #ranking

OPARS: Objective Photo Aesthetics Ranking System (HX, HX, CE), pp. 861–864.

ECIR-2013-ZhukovskiiGS #ranking

URL Redirection Accounting for Improving Link-Based Ranking Methods (MZ, GG, PS), pp. 656–667.

ICML-c1-2013-OstingBO #ranking #statistics

Enhanced statistical rankings via targeted data collection (BO, CB, SO), pp. 489–497.

ICML-c2-2013-LeeKLS #approximate #matrix #rank

Local Low-Rank Matrix Approximation (JL, SK, GL, YS), pp. 82–90.

ICML-c2-2013-WestonMY #clustering #ranking #sublinear

Label Partitioning For Sublinear Ranking (JW, AM, HY), pp. 181–189.

ICML-c3-2013-PapailiopoulosDK #approximate #rank

Sparse PCA through Low-rank Approximations (DSP, AGD, SK), pp. 747–755.

ICML-c3-2013-WauthierJJ #performance #ranking

Efficient Ranking from Pairwise Comparisons (FLW, MIJ, NJ), pp. 109–117.

KDD-2013-CaiQ #analysis #linear #on the #rank

On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions (XC, CHQD, FN, HH), pp. 1124–1132.

KDD-2013-KuangP #clustering #documentation #matrix #performance

Fast rank-2 nonnegative matrix factorization for hierarchical document clustering (DK, HP), pp. 739–747.

KDD-2013-SutherlandPS #learning #matrix #rank

Active learning and search on low-rank matrices (DJS, BP, JGS), pp. 212–220.

KDD-2013-TanXGW #learning #metric #modelling #optimisation #rank #ranking

Direct optimization of ranking measures for learning to rank models (MT, TX, LG, SW), pp. 856–864.

KDIR-KMIS-2013-WaadBL #algorithm #feature model #rank #search-based

Feature Selection by Rank Aggregation and Genetic Algorithms (BW, ABB, ML), pp. 74–81.

RecSys-2013-Hurley #personalisation #ranking

Personalised ranking with diversity (NJH), pp. 379–382.

RecSys-2013-KaratzoglouBS #learning #rank #recommendation

Learning to rank for recommender systems (AK, LB, YS), pp. 493–494.

RecSys-2013-ShiKBLH #multi #named #optimisation #rank

xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance (YS, AK, LB, ML, AH), pp. 431–434.

RecSys-2013-Steck #evaluation #predict #ranking #recommendation

Evaluation of recommendations: rating-prediction and ranking (HS), pp. 213–220.

RecSys-2013-SuYCY #personalisation #ranking #recommendation

Set-oriented personalized ranking for diversified top-n recommendation (RS, LY, KC, YY), pp. 415–418.

RecSys-2013-WestonYW #learning #rank #recommendation #statistics

Learning to rank recommendations with the k-order statistic loss (JW, HY, RJW), pp. 245–248.

SIGIR-2013-BalogR #classification #cumulative #ranking #recommendation

Cumulative citation recommendation: classification vs. ranking (KB, HR), pp. 941–944.

SIGIR-2013-BouadjenekHB #named #personalisation #ranking #social #web

Sopra: a new social personalized ranking function for improving web search (MRB, HH, MB), pp. 861–864.

SIGIR-2013-CuiMLWR #automation #image #nearest neighbour

Ranking-oriented nearest-neighbor based method for automatic image annotation (CC, JM, TL, XW, ZR), pp. 957–960.

SIGIR-2013-DalipGCC #case study #feedback #rank #stack overflow

Exploiting user feedback to learn to rank answers in q&a forums: a case study with stack overflow (DHD, MAG, MC, PC), pp. 543–552.

SIGIR-2013-KimCHZDG #ranking #summary

Ranking explanatory sentences for opinion summarization (HDK, MC, MH, CZ, UD, RG), pp. 1069–1072.

SIGIR-2013-LuWTZHZ #rank #ranking #scalability

A low rank structural large margin method for cross-modal ranking (XL, FW, ST, ZZ, XH, YZ), pp. 433–442.

SIGIR-2013-Molino #modelling #ranking #semantics

Semantic models for answer re-ranking in question answering (PM), p. 1146.

SIGIR-2013-Moschitti #kernel #learning #rank #semantics

Kernel-based learning to rank with syntactic and semantic structures (AM), p. 1128.

SIGIR-2013-Paik #effectiveness #novel #ranking

A novel TF-IDF weighting scheme for effective ranking (JHP), pp. 343–352.

SIGIR-2013-RaiberK #clustering #documentation #markov #random #ranking #using

Ranking document clusters using markov random fields (FR, OK), pp. 333–342.

SIGIR-2013-SakaiD #evaluation #framework #information management #retrieval #summary

Summaries, ranked retrieval and sessions: a unified framework for information access evaluation (TS, ZD), pp. 473–482.

SIGIR-2013-WangHCSWC #adaptation #personalisation #ranking #web

Personalized ranking model adaptation for web search (HW, XH, MWC, YS, RWW, WC), pp. 323–332.

SIGIR-2013-YankovBS #mobile #ranking

Interoperability ranking for mobile applications (DY, PB, RS), pp. 857–860.

SIGIR-2013-ZhukovskiyKGS #rank

Fresh BrowseRank (MZ, AK, GG, PS), pp. 1029–1032.

PPDP-2013-BagnaraM #linear #ranking

Eventual linear ranking functions (RB, FM), pp. 229–238.

POPL-2013-Ben-AmramG #constraints #integer #linear #on the #problem #ranking

On the linear ranking problem for integer linear-constraint loops (AMBA, SG), pp. 51–62.

SAC-2013-ChaudhariZW #component #framework #ranking #towards

Towards a ranking framework for software components (DC, MZ, KW), pp. 495–498.

SAC-2013-MinerviniFdE #predict #rank #semantics

Rank prediction for semantically annotated resources (PM, NF, Cd, FE), pp. 333–338.

CADE-2013-BlanchetteP #first-order #morphism #named #polymorphism

TFF1: The TPTP Typed First-Order Form with Rank-1 Polymorphism (JCB, AP), pp. 414–420.

SAT-2013-Lauria #bound #proving #rank #theorem

A Rank Lower Bound for Cutting Planes Proofs of Ramsey’s Theorem (ML), pp. 351–364.

DATE-2012-MitraBD #formal method #mining #ranking

Formal methods for ranking counterexamples through assumption mining (SM, AB, PD), pp. 911–916.

DRR-2012-SaldarriagaMV #ranking #word

Retrieving handwriting by combining word spotting and manifold ranking (SPS, EM, CVG).

HT-2012-SuzukiY #editing #named #quality #wiki

QualityRank: assessing quality of wikipedia articles by mutually evaluating editors and texts (YS, MY), pp. 307–308.

PODS-2012-HuangYZ #algorithm #distributed #random

Randomized algorithms for tracking distributed count, frequencies, and ranks (ZH, KY, QZ), pp. 295–306.

SIGMOD-2012-LuSLDWC #generative

Optimal top-k generation of attribute combinations based on ranked lists (JL, PS, CL, XD, SW, XC), pp. 409–420.

VLDB-2012-JestesPLT #ranking #scalability

Ranking Large Temporal Data (JJ, JMP, FL, MT), pp. 1412–1423.

VLDB-2012-YuanZWXYH #difference #optimisation #privacy #query #rank

Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy (GY, ZZ, MW, XX, YY, ZH), pp. 1352–1363.

WCRE-2012-AllierAHD #algorithm #framework #ranking

A Framework to Compare Alert Ranking Algorithms (SA, NA, AH, SD), pp. 277–285.

STOC-2012-CheungKL #algorithm #matrix #performance #rank

Fast matrix rank algorithms and applications (HYC, TCK, LCL), pp. 549–562.

STOC-2012-ForbesS #on the #rank #testing

On identity testing of tensors, low-rank recovery and compressed sensing (MAF, AS), pp. 163–172.

CIAA-2012-Gusev #automaton #bound #rank

Synchronizing Automata of Bounded Rank (VVG), pp. 171–179.

ICALP-v1-2012-BuchbinderNRS #algorithm #approximate #constraints #online #rank

Approximation Algorithms for Online Weighted Rank Function Maximization under Matroid Constraints (NB, JN, RR, MS), pp. 145–156.

LATA-2012-Woryna #automaton #self

Automaton Ranks of Some Self-similar Groups (AW), pp. 514–525.

CHI-2012-FitchettC #named #predict #what

AccessRank: predicting what users will do next (SF, AC), pp. 2239–2242.

CHI-2012-NobaranyORCMM #design #interface #metric #ranking #rating

The design space of opinion measurement interfaces: exploring recall support for rating and ranking (SN, LO, VKR, CHC, JM, TM), pp. 2035–2044.

CIKM-2012-AgarwalCW #multi #ranking #using

Multi-faceted ranking of news articles using post-read actions (DA, BCC, XW), pp. 694–703.

CIKM-2012-AgarwalRSMLGF #learning #rank #robust

Learning to rank for robust question answering (AA, HR, KS, PM, RDL, DG, JF), pp. 833–842.

CIKM-2012-AsadiL #documentation #generative #performance #ranking

Fast candidate generation for two-phase document ranking: postings list intersection with bloom filters (NA, JL), pp. 2419–2422.

CIKM-2012-BerneckerEKRZ #database #fuzzy #probability #ranking

Probabilistic ranking in fuzzy object databases (TB, TE, HPK, MR, AZ), pp. 2647–2650.

CIKM-2012-CaiZ #injection #learning #rank

Variance maximization via noise injection for active sampling in learning to rank (WC, YZ), pp. 1809–1813.

CIKM-2012-DybalaRAS #analysis #comparative #generative #ranking

Data filtering in humor generation: comparative analysis of hit rate and co-occurrence rankings as a method to choose usable pun candidates (PD, RR, KA, KS), pp. 2587–2590.

CIKM-2012-JiangSZ #effectiveness #ranking #towards

Towards an effective and unbiased ranking of scientific literature through mutual reinforcement (XJ, XS, HZ), pp. 714–723.

CIKM-2012-KanhabuaN #learning #query #rank

Learning to rank search results for time-sensitive queries (NK, KN), pp. 2463–2466.

CIKM-2012-KashyapAH #named #network #personalisation #social

SonetRank: leveraging social networks to personalize search (AK, RA, VH), pp. 2045–2049.

CIKM-2012-KharitonovS #ranking #web

Demographic context in web search re-ranking (EK, PS), pp. 2555–2558.

CIKM-2012-KongJYXZ #ranking

Ranking news events by influence decay and information fusion for media and users (LK, SJ, RY, SX, YZ), pp. 1849–1853.

CIKM-2012-KulkarniTHC #estimation #ranking #topic

Shard ranking and cutoff estimation for topically partitioned collections (AK, AST, DH, JC), pp. 555–564.

CIKM-2012-KurlandRS #clustering #predict #ranking

Query-performance prediction and cluster ranking: two sides of the same coin (OK, FR, AS), pp. 2459–2462.

CIKM-2012-LeePKL #graph #named #novel #ranking #recommendation

PathRank: a novel node ranking measure on a heterogeneous graph for recommender systems (SL, SP, MK, SgL), pp. 1637–1641.

CIKM-2012-LiuZG #analysis #ranking

Full-text citation analysis: enhancing bibliometric and scientific publication ranking (XL, JZ, CG), pp. 1975–1979.

CIKM-2012-MacdonaldSO #learning #on the #query #rank

On the usefulness of query features for learning to rank (CM, RLTS, IO), pp. 2559–2562.

CIKM-2012-NiuLGC #probability #problem #ranking

A new probabilistic model for top-k ranking problem (SN, YL, JG, XC), pp. 2519–2522.

CIKM-2012-SunWGM #hybrid #learning #rank #recommendation

Learning to rank for hybrid recommendation (JS, SW, BJG, JM), pp. 2239–2242.

CIKM-2012-TeymorianQF #distributed #energy #named #query

RESQ: rank-energy selective query forwarding for distributed search systems (AYT, XQ, OF), pp. 2579–2582.

CIKM-2012-VolkovsLZ #learning #rank

Learning to rank by aggregating expert preferences (MV, HL, RSZ), pp. 843–851.

CIKM-2012-WangSGM #adaptation #collaboration

Adapting vector space model to ranking-based collaborative filtering (SW, JS, BJG, JM), pp. 1487–1491.

CIKM-2012-WangWLL #graph #keyword #ranking #using #wiki

Exploring simultaneous keyword and key sentence extraction: improve graph-based ranking using wikipedia (XW, LW, JL, SL), pp. 2619–2622.

CIKM-2012-ZhangHLL #learning #rank #realtime #twitter

Query-biased learning to rank for real-time twitter search (XZ, BH, TL, BL), pp. 1915–1919.

CIKM-2012-ZhangSZZ #ranking #transaction

Credibility-based product ranking for C2C transactions (RZ, CS, MZ, AZ), pp. 2149–2153.

CIKM-2012-ZhouLZ12a #collaboration #query #ranking

Collaborative ranking: improving the relevance for tail queries (KZ, XL, HZ), pp. 1900–1904.

CIKM-2012-ZhouZ #debugging #learning #rank

Learning to rank duplicate bug reports (JZ, HZ), pp. 852–861.

ECIR-2012-GeraniZC #linear #multi #ranking

Score Transformation in Linear Combination for Multi-criteria Relevance Ranking (SG, CZ, FC), pp. 256–267.

ECIR-2012-Lubell-DoughtieH #feedback #learning #rank

Learning to Rank from Relevance Feedback for e-Discovery (PLD, KH), pp. 535–539.

ECIR-2012-QuattoniCT #ranking #retrieval

A Latent Variable Ranking Model for Content-Based Retrieval (AQ, XC, AT), pp. 340–351.

ICML-2012-DembczynskiKH #consistency #multi #ranking

Consistent Multilabel Ranking through Univariate Losses (KD, WK, EH), p. 175.

ICML-2012-KarbasiIM #learning #rank

Comparison-Based Learning with Rank Nets (AK, SI, LM), p. 161.

ICML-2012-KiralyT #algebra #approach #combinator #matrix #rank

A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion (FJK, RT), p. 100.

ICML-2012-MenonJVEO #predict #ranking

Predicting accurate probabilities with a ranking loss (AKM, XJ, SV, CE, LOM), p. 88.

ICML-2012-SavalleRV #estimation #matrix #rank

Estimation of Simultaneously Sparse and Low Rank Matrices (PAS, ER, NV), p. 11.

ICML-2012-YangO #clustering #composition #matrix #probability #rank

Clustering by Low-Rank Doubly Stochastic Matrix Decomposition (ZY, EO), p. 94.

ICML-2012-ZhangLLR #composition #rank

Improved Nystrom Low-rank Decomposition with Priors (KZ, LL, JL, AR), p. 22.

ICPR-2012-AbeOD #image #learning #rank

Recognizing surface qualities from natural images based on learning to rank (TA, TO, KD), pp. 3712–3715.

ICPR-2012-ArpitSF #rank #recognition

Locality-constrained Low Rank Coding for face recognition (DA, GS, YF), pp. 1687–1690.

ICPR-2012-BriaMMT #approach #semistructured data

A ranking-based cascade approach for unbalanced data (AB, CM, MM, FT), pp. 3439–3442.

ICPR-2012-GaoES #pseudo #ranking

A ranking model for face alignment with Pseudo Census Transform (HG, HKE, RS), pp. 1116–1119.

ICPR-2012-GuyonBZ #constraints #detection #matrix #rank #robust

Foreground detection via robust low rank matrix factorization including spatial constraint with Iterative reweighted regression (CG, TB, EHZ), pp. 2805–2808.

ICPR-2012-LingZP #ranking #retrieval #similarity

Tri-space and ranking based heterogeneous similarity measure for cross-media retrieval (LL, XZ, YP), pp. 230–233.

ICPR-2012-MatsudaY #multi #ranking #recognition

Multiple-food recognition considering co-occurrence employing manifold ranking (YM, KY), pp. 2017–2020.

ICPR-2012-ZhengZ #kernel #recognition #speech

Speech emotion recognition based on kernel reduced-rank regression (WZ, XZ), pp. 1972–1976.

KDD-2012-BahmaniKMU #evolution #graph #rank

PageRank on an evolving graph (BB, RK, MM, EU), pp. 24–32.

KDD-2012-BriggsFR

Rank-loss support instance machines for MIML instance annotation (FB, XZF, RR), pp. 534–542.

KDD-2012-HsiehCD #modelling #network #rank

Low rank modeling of signed networks (CJH, KYC, ISD), pp. 507–515.

KDD-2012-JiLHCH #parallel #ranking

Parallel field ranking (MJ, BL, XH, DC, JH), pp. 723–731.

KDD-2012-XiangZSY #rank

Optimal exact least squares rank minimization (SX, YZ, XS, JY), pp. 480–488.

KDD-2012-ZhangL #component #constraints #mining #rank #recognition

Mining discriminative components with low-rank and sparsity constraints for face recognition (QZ, BL), pp. 1469–1477.

KR-2012-MorettiT #ranking #set #using

Ranking Sets of Possibly Interacting Objects Using Shapley Extensions (SM, AT).

MLDM-2012-MacchiaCM #mining #modelling #network #ranking

Mining Ranking Models from Dynamic Network Data (LM, MC, DM), pp. 566–577.

RecSys-2012-Diaz-AvilesGN #rank #recommendation

Swarming to rank for recommender systems (EDA, MG, WN), pp. 229–232.

RecSys-2012-PradelUG #evaluation #metric #ranking

Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics (BP, NU, PG), pp. 147–154.

RecSys-2012-SalimansPG #collaboration #learning #ranking

Collaborative learning of preference rankings (TS, UP, TG), pp. 261–264.

RecSys-2012-ShiKBLOH #collaboration #learning #named #rank

CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering (YS, AK, LB, ML, NO, AH), pp. 139–146.

RecSys-2012-TakacsT #personalisation #ranking

Alternating least squares for personalized ranking (GT, DT), pp. 83–90.

SIGIR-2012-ArroyueloGMOS #ranking #trade-off

To index or not to index: time-space trade-offs in search engines with positional ranking functions (DA, SG, MM, MO, TS), pp. 255–264.

SIGIR-2012-BerardiES #automation #classification #ranking

A utility-theoretic ranking method for semi-automated text classification (GB, AE, FS), pp. 961–970.

SIGIR-2012-ChandarC12a #rank #using

Using PageRank to infer user preferences (PC, BC), pp. 1167–1168.

SIGIR-2012-ChangHYLC #ranking #web

Learning-based time-sensitive re-ranking for web search (PTC, YCH, CLY, SDL, PJC), pp. 1101–1102.

SIGIR-2012-HongBAD #learning #rank #social

Learning to rank social update streams (LH, RB, JA, BDD), pp. 651–660.

SIGIR-2012-KharitonovS #gender #ranking

Gender-aware re-ranking (EK, PS), pp. 1081–1082.

SIGIR-2012-LogachevS #optimisation #parametricity #rank

Optimizing parameters of the expected reciprocal rank (YL, PS), pp. 1123–1124.

SIGIR-2012-LuCL #information retrieval

Fixed versus dynamic co-occurrence windows in TextRank term weights for information retrieval (WL, QC, CL), pp. 1079–1080.

SIGIR-2012-LvLW #heuristic #mobile #ranking

An exploration of ranking heuristics in mobile local search (YL, DL, QW), pp. 295–304.

SIGIR-2012-MacdonaldTO12a #effectiveness #learning #rank #safety

Effect of dynamic pruning safety on learning to rank effectiveness (CM, NT, IO), pp. 1051–1052.

SIGIR-2012-MetrikovPA #performance #ranking

Impact of assessor disagreement on ranking performance (PM, VP, JAA), pp. 1091–1092.

SIGIR-2012-NiuGLC #evaluation #learning #rank #ranking

Top-k learning to rank: labeling, ranking and evaluation (SN, JG, YL, XC), pp. 751–760.

SIGIR-2012-ONeil #ranking #sentiment #using

Entity sentiment extraction using text ranking (JO), p. 1024.

SIGIR-2012-OzertemCDV #framework #machine learning #query #ranking

Learning to suggest: a machine learning framework for ranking query suggestions (UO, OC, PD, EV), pp. 25–34.

SIGIR-2012-SeverynM #learning #ranking #scalability

Structural relationships for large-scale learning of answer re-ranking (AS, AM), pp. 741–750.

SIGIR-2012-TrevisiolCAJ #behaviour #image #ranking

Image ranking based on user browsing behavior (MT, LC, LMA, AJ), pp. 445–454.

SIGIR-2012-WangBC #modelling #optimisation #ranking #robust

Robust ranking models via risk-sensitive optimization (LW, PNB, KCT), pp. 761–770.

SIGIR-2012-Whiting #problem #ranking

The essence of time: considering temporal relevance as an intent-aware ranking problem (SW), p. 1000.

SIGIR-2012-XiaoZT #image #ranking

Exploring tag relevance for image tag re-ranking (JX, WZ, QT), pp. 1069–1070.

TOOLS-EUROPE-J-2011-LavalFVD12 #performance #ranking #retrieval #scalability

Efficient Retrieval and Ranking of Undesired Package Cycles in Large Software Systems (JL, JRF, PV, SD), pp. 1–24.

SAC-2012-VerheijKFVH #framework #query #ranking

Querying and ranking news items in the hermes framework (AV, AK, FF, DV, FH), pp. 672–679.

ICDAR-2011-ZhangS #rank

Circle Text Expansion as Low-Rank Textures (XZ, FS), pp. 202–206.

SIGMOD-2011-BahmaniCX #performance #personalisation #pipes and filters #rank

Fast personalized PageRank on MapReduce (BB, KC, DX), pp. 973–984.

SIGMOD-2011-BozzonBBCCFV #multi

Search computing: multi-domain search on ranked data (AB, DB, MB, SC, FC, PF, SV), pp. 1267–1270.

SIGMOD-2011-ChenP #documentation #ranking #retrieval

Context-sensitive ranking for document retrieval (LJC, YP), pp. 757–768.

SIGMOD-2011-GuanWZSY #correlation #graph #ranking

Assessing and ranking structural correlations in graphs (ZG, JW, QZ, AKS, XY), pp. 937–948.

SIGMOD-2011-HanLMHY #approach #sequence

A new approach for processing ranked subsequence matching based on ranked union (WSH, JL, YSM, SwH, HY), pp. 457–468.

SIGMOD-2011-JinP #evaluation #performance #query

Efficient and generic evaluation of ranked queries (WJ, JMP), pp. 601–612.

SIGMOD-2011-SolimanIMT #metric #nondeterminism #ranking #semantics

Ranking with uncertain scoring functions: semantics and sensitivity measures (MAS, IFI, DM, MT), pp. 805–816.

SIGMOD-2011-StoyanovichLMR #named #ranking #semantics #visualisation

SkylineSearch: semantic ranking and result visualization for pubmed (JS, ML, WM, KAR), pp. 1247–1250.

VLDB-2011-GolenbergKS #optimisation

Optimizing and Parallelizing Ranked Enumeration (KG, BK, YS), pp. 1028–1039.

VLDB-2011-VenetisGJH #ranking

Hyper-local, directions-based ranking of places (PV, HG, CSJ, AYH), pp. 290–301.

VLDB-2011-WangYYZP #database #nondeterminism #on the #ranking

On Pruning for Top-K Ranking in Uncertain Databases (CW, LYY, JHY, ORZ, JP), pp. 598–609.

VLDB-2011-XieLW #constraints #performance #rank

Efficient Rank Join with Aggregation Constraints (MX, LVSL, PTW), pp. 1201–1212.

VLDB-2012-QumsiyehPN11 #generative

Generating Exact- and Ranked Partially-Matched Answers to Questions in Advertisements (RQ, MSP, YKN), pp. 217–228.

CSMR-2011-TsantalisC #ranking #refactoring

Ranking Refactoring Suggestions Based on Historical Volatility (NT, AC), pp. 25–34.

STOC-2011-AdsulGMS #algorithm #game studies #morphism #polynomial

Rank-1 bimatrix games: a homeomorphism and a polynomial time algorithm (BA, JG, RM, MAS), pp. 195–204.

STOC-2011-BarakDYW #bound #design #geometry #matrix #rank

Rank bounds for design matrices with applications toc ombinatorial geometry and locally correctable codes (BB, ZD, AY, AW), pp. 519–528.

STOC-2011-BurgisserI #complexity #geometry #rank

Geometric complexity theory and tensor rank (PB, CI), pp. 509–518.

CIAA-2011-FlouriJMIP #automaton #order

Tree Template Matching in Ranked Ordered Trees by Pushdown Automata (TF, JJ, BM, CSI, SPP), pp. 273–281.

CHI-2011-WobbrockFGH #analysis #parametricity #rank #using

The aligned rank transform for nonparametric factorial analyses using only anova procedures (JOW, LF, DG, JJH), pp. 143–146.

OCSC-2011-YongpisanpopOM #collaboration #community #ranking #web

Community Search: A Collaborative Searching Web Application with a User Ranking System (PY, MO, KiM), pp. 378–386.

CIKM-2011-AzzamRY #query #sql

Ranking-based processing of SQL queries (HA, TR, SY), pp. 231–236.

CIKM-2011-BachmannSLS #database #ranking

Extracting cross references from life science databases for search result ranking (AB, RS, ML, MS), pp. 1253–1258.

CIKM-2011-BicerTN #keyword #modelling #ranking #using

Ranking support for keyword search on structured data using relevance models (VB, TT, RN), pp. 1669–1678.

CIKM-2011-BressanP #rank #ranking

Local computation of PageRank: the ranking side (MB, LP), pp. 631–640.

CIKM-2011-CardosoM #ranking #similarity

Google, bing and a new perspective on ranking similarity (BC, JM), pp. 1933–1936.

CIKM-2011-CoffmanW #keyword #learning #rank #relational

Learning to rank results in relational keyword search (JC, ACW), pp. 1689–1698.

CIKM-2011-ElsayedLM #approximate #performance #retrieval

When close enough is good enough: approximate positional indexes for efficient ranked retrieval (TE, JJL, DM), pp. 1993–1996.

CIKM-2011-GiannopoulosBDS #learning #rank

Learning to rank user intent (GG, UB, TD, TKS), pp. 195–200.

CIKM-2011-JameelLYC #ranking

An unsupervised ranking method based on a technical difficulty terrain (SJ, WL, CmAY, SC), pp. 1989–1992.

CIKM-2011-KalyanpurPBLC #composition #ranking

Fact-based question decomposition for candidate answer re-ranking (AK, SP, BB, AL, JCC), pp. 2045–2048.

CIKM-2011-LinLWX #learning #rank

Learning to rank with cross entropy (YL, HL, JW, KX), pp. 2057–2060.

CIKM-2011-MaLL #using

Selecting related terms in query-logs using two-stage SimRank (YM, HL, YL), pp. 1969–1972.

CIKM-2011-NiuLX #graph #named #ranking #using

DIGRank: using global degree to facilitate ranking in an incomplete graph (XN, LL, KX), pp. 2297–2300.

CIKM-2011-RamanJS #learning #ranking

Structured learning of two-level dynamic rankings (KR, TJ, PS), pp. 291–296.

CIKM-2011-SafadiQ #ranking #retrieval #video

Re-ranking by local re-scoring for video indexing and retrieval (BS, GQ), pp. 2081–2084.

CIKM-2011-SahayRP #ranking #social #web

Social ranking for spoken web search (SS, NR, NP), pp. 1835–1840.

CIKM-2011-SellamanickamGS #approach #learning #ranking

A pairwise ranking based approach to learning with positive and unlabeled examples (SS, PG, SKS), pp. 663–672.

CIKM-2011-StyskinRVS #ranking #set

Recency ranking by diversification of result set (AS, FR, FV, PS), pp. 1949–1952.

CIKM-2011-SzummerY #learning #rank

Semi-supervised learning to rank with preference regularization (MS, EY), pp. 269–278.

CIKM-2011-TangLYSGGYZ #behaviour #learning #rank

Learning to rank audience for behavioral targeting in display ads (JT, NL, JY, YS, SG, BG, SY, MZ), pp. 605–610.

CIKM-2011-UllegaddiV #category theory #learning #query #rank #web

Learning to rank categories for web queries (PU, VV), pp. 2065–2068.

CIKM-2011-UysalC #approach #microblog #ranking #twitter

User oriented tweet ranking: a filtering approach to microblogs (IU, WBC), pp. 2261–2264.

CIKM-2011-WangC #information retrieval #modelling #probability #ranking #statistics

Statistical information retrieval modelling: from the probability ranking principle to recent advances in diversity, portfolio theory, and beyond (JW, KCT), pp. 2603–2604.

CIKM-2011-WangL #framework #learning #named #rank

CoRankBayes: bayesian learning to rank under the co-training framework and its application in keyphrase extraction (CW, SL), pp. 2241–2244.

CIKM-2011-XuJL #image #mining #online #ranking

Retrieving and ranking unannotated images through collaboratively mining online search results (SX, HJ, FCML), pp. 485–494.

CIKM-2011-ZhuCXCT #category theory #ranking #towards

Towards expert finding by leveraging relevant categories in authority ranking (HZ, HC, HX, EC, JT), pp. 2221–2224.

CIKM-2011-ZwolV #ranking

Object ranking (RvZ, SV), pp. 2613–2614.

ECIR-2011-BelloginWC #collaboration #ranking #retrieval

Text Retrieval Methods for Item Ranking in Collaborative Filtering (AB, JW, PC), pp. 301–306.

ECIR-2011-BuffoniTG #ranking

The Importance of the Depth for Text-Image Selection Strategy in Learning-To-Rank (DB, ST, PG), pp. 743–746.

ECIR-2011-CaiGWZ #adaptation #ranking

Weight-Based Boosting Model for Cross-Domain Relevance Ranking Adaptation (PC, WG, KFW, AZ), pp. 562–567.

ECIR-2011-HofmannWR #learning #online #rank

Balancing Exploration and Exploitation in Learning to Rank Online (KH, SW, MdR), pp. 251–263.

ECIR-2011-IofciuDCV #effectiveness #feedback #named #ranking

ReFER: Effective Relevance Feedback for Entity Ranking (TI, GD, NC, APdV), pp. 264–276.

ECIR-2011-MacdonaldO #learning #modelling #ranking

Learning Models for Ranking Aggregates (CM, IO), pp. 517–529.

ECIR-2011-SafadiQ #multi #ranking #retrieval

Re-ranking for Multimedia Indexing and Retrieval (BS, GQ), pp. 708–711.

ECIR-2011-SteinH #ranking

Introducing the User-over-Ranking Hypothesis (BS, MH), pp. 503–509.

ECIR-2011-ZhaoZSH #approach #metric #novel #quantum #ranking

A Novel Re-ranking Approach Inspired by Quantum Measurement (XZ, PZ, DS, YH), pp. 721–724.

ICML-2011-KotlowskiDH #ranking

Bipartite Ranking through Minimization of Univariate Loss (WK, KD, EH), pp. 1113–1120.

ICML-2011-MachartPARG #kernel #learning #probability #rank

Stochastic Low-Rank Kernel Learning for Regression (PM, TP, SA, LR, HG), pp. 969–976.

ICML-2011-MeyerBS #approach #constraints #linear

Linear Regression under Fixed-Rank Constraints: A Riemannian Approach (GM, SB, RS), pp. 545–552.

ICML-2011-RobbianoC #learning #plugin #ranking

Minimax Learning Rates for Bipartite Ranking and Plug-in Rules (SR, SC), pp. 441–448.

ICML-2011-Shalev-ShwartzGS #constraints #rank #scalability

Large-Scale Convex Minimization with a Low-Rank Constraint (SSS, AG, OS), pp. 329–336.

ICML-2011-SmallWBT #learning

The Constrained Weight Space SVM: Learning with Ranked Features (KS, BCW, CEB, TAT), pp. 865–872.

ICML-2011-WickRBCM #graph #named

SampleRank: Training Factor Graphs with Atomic Gradients (MLW, KR, KB, AC, AM), pp. 777–784.

KDD-2011-ChenZY #learning #multi #rank #robust

Integrating low-rank and group-sparse structures for robust multi-task learning (JC, JZ, JY), pp. 42–50.

KDD-2011-DubeyCB #graph #ranking

Diversity in ranking via resistive graph centers (AD, SC, CB), pp. 78–86.

KDD-2011-GaoLWWL #graph #metadata #ranking #scalability

Semi-supervised ranking on very large graphs with rich metadata (BG, TYL, WW, TW, HL), pp. 96–104.

KDD-2011-GleichL #rank

Rank aggregation via nuclear norm minimization (DFG, LHL), pp. 60–68.

KDD-2011-JiHD #classification #network

Ranking-based classification of heterogeneous information networks (MJ, JH, MD), pp. 1298–1306.

KDD-2011-JinLH #axiom #network #ranking #similarity

Axiomatic ranking of network role similarity (RJ, VEL, HH), pp. 922–930.

KDD-2011-NgLY #multi #named

MultiRank: co-ranking for objects and relations in multi-relational data (MKPN, XL, YY), pp. 1217–1225.

KDD-2011-TongHWKL #graph #optimisation #ranking #scalability

Diversified ranking on large graphs: an optimization viewpoint (HT, JH, ZW, RK, CYL), pp. 1028–1036.

KDD-2011-ZhouBS #approach #graph #ranking

An iterated graph laplacian approach for ranking on manifolds (XZ, MB, NS), pp. 877–885.

KDIR-2011-FilhoRM #learning #named #rank

XHITS: Learning to Rank in a Hyperlinked Structure (FBF, RPR, RLM), pp. 385–389.

KDIR-2011-KuhlweinUTGH #automation #multi #ranking #reasoning

Multi-output Ranking for Automated Reasoning (DK, JU, ET, HG, TH), pp. 42–51.

RecSys-2011-KimE #personalisation #rank #recommendation

Personalized PageRank vectors for tag recommendations: inside FolkRank (HNK, AES), pp. 45–52.

RecSys-2011-LeeSKLL #graph #multi #random #ranking #recommendation

Random walk based entity ranking on graph for multidimensional recommendation (SL, SiS, MK, DL, SgL), pp. 93–100.

RecSys-2011-VargasC #metric #rank #recommendation

Rank and relevance in novelty and diversity metrics for recommender systems (SV, PC), pp. 109–116.

SIGIR-2011-AsadiMEL #learning #pseudo #ranking #web

Pseudo test collections for learning web search ranking functions (NA, DM, TE, JJL), pp. 1073–1082.

SIGIR-2011-BerberichKLZ #ranking

Improving local search ranking through external logs (KB, ACK, DL, PZ), pp. 785–794.

SIGIR-2011-CaiGZW #adaptation #education #query #ranking

Relevant knowledge helps in choosing right teacher: active query selection for ranking adaptation (PC, WG, AZ, KFW), pp. 115–124.

SIGIR-2011-CuiWLOYS #predict #ranking #social #what

Who should share what?: item-level social influence prediction for users and posts ranking (PC, FW, SL, MO, SY, LS), pp. 185–194.

SIGIR-2011-DaiSD #learning #rank

Learning to rank for freshness and relevance (ND, MS, BDD), pp. 95–104.

SIGIR-2011-DaiSD11a #learning #multi #optimisation #rank

Multi-objective optimization in learning to rank (ND, MS, BDD), pp. 1241–1242.

SIGIR-2011-DuGC #network

Decayed DivRank: capturing relevance, diversity and prestige in information networks (PD, JG, XC), pp. 1239–1240.

SIGIR-2011-EfronG #estimation #ranking

Estimation methods for ranking recent information (ME, GG), pp. 495–504.

SIGIR-2011-GanjisaffarCL #modelling #precise #ranking

Bagging gradient-boosted trees for high precision, low variance ranking models (YG, RC, CVL), pp. 85–94.

SIGIR-2011-KanhabuaBM #predict #ranking

Ranking related news predictions (NK, RB, MM), pp. 755–764.

SIGIR-2011-KanhabuaN11a #comparison #ranking

A comparison of time-aware ranking methods (NK, KN), pp. 1257–1258.

SIGIR-2011-KanoulasSMPA #algorithm #ranking #scalability #set

A large-scale study of the effect of training set characteristics over learning-to-rank algorithms (EK, SS, PM, VP, JAA), pp. 1243–1244.

SIGIR-2011-KazaiKKM #comparative #crowdsourcing #design #evaluation #ranking

Crowdsourcing for book search evaluation: impact of hit design on comparative system ranking (GK, JK, MK, NMF), pp. 205–214.

SIGIR-2011-KumarL #learning #rank

Learning to rank from a noisy crowd (AK, ML), pp. 1221–1222.

SIGIR-2011-PolitzS #constraints #learning #rank

Learning to rank under tight budget constraints (CP, RS), pp. 1173–1174.

SIGIR-2011-SantosMO11a #metric #on the #ranking

On the suitability of diversity metrics for learning-to-rank for diversity (RLTS, CM, IO), pp. 1185–1186.

SIGIR-2011-SkoutasA #ranking

Ranking tags in resource collections (DS, MA), pp. 1207–1208.

SIGIR-2011-SongZH #query

Post-ranking query suggestion by diversifying search results (YS, DZ, LwH), pp. 815–824.

SIGIR-2011-SongZXLL #query #ranking

Query term ranking based on search results overlap (WS, YZ, YX, TL, SL), pp. 1253–1254.

SIGIR-2011-WangGWL #information retrieval #learning #parallel #rank

Parallel learning to rank for information retrieval (SW, BJG, KW, HWL), pp. 1083–1084.

SIGIR-2011-WangLM #performance #ranking #retrieval

A cascade ranking model for efficient ranked retrieval (LW, JJL, DM), pp. 105–114.

SIGIR-2011-WuYLLYX #learning #rank #using

Learning to rank using query-level regression (JW, ZY, YL, HL, ZY, KX), pp. 1091–1092.

SIGIR-2011-XuBCCHLL #image #performance #ranking #retrieval

Efficient manifold ranking for image retrieval (BX, JB, CC, DC, XH, WL, JL), pp. 525–534.

SIGIR-2011-ZhangMLM #approach #how #information retrieval #ranking

How to count thumb-ups and thumb-downs?: an information retrieval approach to user-rating based ranking of items (DZ, RM, HL, JM), pp. 1223–1224.

SIGIR-2011-ZucconAR #documentation #interactive #ranking

The interactive PRP for diversifying document rankings (GZ, LA, CJvR), pp. 1227–1228.

TOOLS-EUROPE-2011-FalleriDLVD #performance #ranking #retrieval #scalability

Efficient Retrieval and Ranking of Undesired Package Cycles in Large Software Systems (JRF, SD, JL, PV, SD), pp. 260–275.

ICST-2011-ShenFZ #effectiveness #fault #named #ranking

EFindBugs: Effective Error Ranking for FindBugs (HS, JF, JZ), pp. 299–308.

SAT-2011-Gelder #multi #ranking

Careful Ranking of Multiple Solvers with Timeouts and Ties (AVG), pp. 317–328.

HT-2010-KashoobCK #ranking #social #web

Community-based ranking of the social web (SK, JC, KYK), pp. 141–150.

VLDB-2010-LiD #dataset #probability #ranking

Ranking Continuous Probabilistic Datasets (JL, AD), pp. 638–649.

VLDB-2010-MartinenghiT #proximity #rank

Proximity Rank Join (DM, MT), pp. 352–363.

VLDB-2010-SolimanIS #nondeterminism

Building Ranked Mashups of Unstructured Sources with Uncertain Information (MAS, IFI, MS), pp. 826–837.

VLDB-2011-BahmaniCG10 #incremental #performance #personalisation #rank

Fast Incremental and Personalized PageRank (BB, AC, AG), pp. 173–184.

TACAS-2010-CookKRW #ranking #synthesis

Ranking Function Synthesis for Bit-Vector Relations (BC, DK, PR, CMW), pp. 236–250.

SAS-2010-AliasDFG #bound #complexity #multi #ranking #source code #termination

Multi-dimensional Rankings, Program Termination, and Complexity Bounds of Flowchart Programs (CA, AD, PF, LG), pp. 117–133.

STOC-2010-Raz #bound

Tensor-rank and lower bounds for arithmetic formulas (RR), pp. 659–666.

ICALP-v1-2010-BrietFV #constraints #problem #rank

The Positive Semidefinite Grothendieck Problem with Rank Constraint (JB, FMdOF, FV), pp. 31–42.

ICALP-v2-2010-BansalJKN #algorithm #approximate #ranking

Approximation Algorithms for Diversified Search Ranking (NB, KJ, AK, JN), pp. 273–284.

ICFP-2010-HoldermansH #analysis #higher-order #polymorphism

Polyvariant flow analysis with higher-ranked polymorphic types and higher-order effect operators (SH, JH), pp. 63–74.

CAiSE-2010-StecherCNN #integration #query #ranking

Query Ranking in Information Integration (RS, SC, CN, WN), pp. 230–235.

CIKM-2010-BilottiECN #constraints #learning #rank #semantics

Rank learning for factoid question answering with linguistic and semantic constraints (MWB, JLE, JGC, EN), pp. 459–468.

CIKM-2010-BronBR #analysis #component #ranking

Ranking related entities: components and analyses (MB, KB, MdR), pp. 1079–1088.

CIKM-2010-DuGZC #ranking #summary

Manifold ranking with sink points for update summarization (PD, JG, JZ, XC), pp. 1757–1760.

CIKM-2010-FengZXY #crawling #rank #using

Focused crawling using navigational rank (SF, LZ, YX, CY), pp. 1513–1516.

CIKM-2010-GordeviciusELAG #evolution #ranking

Ranking of evolving stories through meta-aggregation (JG, FJE, HCL, PA, JG), pp. 1909–1912.

CIKM-2010-HarveyRC #modelling #ranking #social #topic #using

Ranking social bookmarks using topic models (MH, IR, MJC), pp. 1401–1404.

CIKM-2010-HeMW #algorithm #evaluation #learning #metric #optimisation #rank

Directly optimizing evaluation measures in learning to rank based on the clonal selection algorithm (QH, JM, SW), pp. 1449–1452.

CIKM-2010-JinW #concept #ranking

Discovering, ranking and annotating cross-document relationships between concepts (WJ, XW), pp. 1929–1930.

CIKM-2010-KameshwaranPMVD #interactive #network #ranking

Outcome aware ranking in interaction networks (SK, VP, SM, NV, KD), pp. 229–238.

CIKM-2010-KapteinSVK #ranking #using #wiki

Entity ranking using Wikipedia as a pivot (RK, PS, APdV, JK), pp. 69–78.

CIKM-2010-KotovKDC #profiling #query #ranking #web

Temporal query log profiling to improve web search ranking (AK, PK, LD, YC), pp. 1149–1158.

CIKM-2010-KouCZZ #learning #ranking

Learning to blend rankings: a monotonic transformation to blend rankings from heterogeneous domains (ZK, YC, ZZ, HZ), pp. 1921–1924.

CIKM-2010-LadY #documentation #feedback #learning #novel #rank

Learning to rank relevant and novel documents through user feedback (AL, YY), pp. 469–478.

CIKM-2010-LiBS #bibliography #online #predict #ranking

Affinity-driven prediction and ranking of products in online product review sites (HL, SSB, AS), pp. 1745–1748.

CIKM-2010-LiLBZ #optimisation #ranking #web

Optimizing unified loss for web ranking specialization (FL, XL, JB, ZZ), pp. 1593–1596.

CIKM-2010-LinLYJS #learning #rank

Learning to rank with groups (YL, HL, ZY, SJ, XS), pp. 1589–1592.

CIKM-2010-LiuCXD #collaboration #personalisation #ranking

Exploiting user interests for collaborative filtering: interests expansion via personalized ranking (QL, EC, HX, CHQD), pp. 1697–1700.

CIKM-2010-LongCVYZ #ranking

Ranking with auxiliary data (BL, YC, SV, SHY, ZZ), pp. 1489–1492.

CIKM-2010-MoonDJLZ #behaviour #ranking

User behavior driven ranking without editorial judgments (TM, GD, SJ, CL, ZZ), pp. 1473–1476.

CIKM-2010-MoonLCLZC #feedback #learning #online #ranking #realtime #using

Online learning for recency search ranking using real-time user feedback (TM, LL, WC, CL, ZZ, YC), pp. 1501–1504.

CIKM-2010-MullerSS #adaptation #ranking

Adaptive outlierness for subspace outlier ranking (EM, MS, TS), pp. 1629–1632.

CIKM-2010-NguyenYLF #case study #experience #learning #multi #ranking #using

Experiences with using SVM-based learning for multi-objective ranking (LTN, WGY, RL, OF), pp. 1917–1920.

CIKM-2010-SayyadiEHR #challenge #personalisation #ranking #social #social media

Challenges in personalized authority flow based ranking of social media (HS, JE, VH, LR), pp. 1409–1412.

CIKM-2010-ShalemK

Computing the top-k maximal answers in a join of ranked lists (MS, YK), pp. 1381–1384.

CIKM-2010-WangCWZH #modelling #ranking

Explore click models for search ranking (DW, WC, GW, YZ, BH), pp. 1417–1420.

CIKM-2010-WangML #constraints #ranking

Ranking under temporal constraints (LW, DM, JJL), pp. 79–88.

CIKM-2010-WuHL #image #ranking #retrieval

Group ranking with application to image retrieval (OW, WH, BL), pp. 1441–1444.

CIKM-2010-YuKN #named #question

RankSVR: can preference data help regression? (HY, SK, SHN), pp. 879–888.

CIKM-2010-ZaragozaCB #question #ranking #web

Web search solved?: all result rankings the same? (HZ, BBC, RABY), pp. 529–538.

CIKM-2010-ZhaoJHSYL #modelling #ranking

Context modeling for ranking and tagging bursty features in text streams (WXZ, JJ, JH, DS, HY, XL), pp. 1769–1772.

CIKM-2010-ZhouLMW #approach #documentation #ranking

A late fusion approach to cross-lingual document re-ranking (DZ, SL, JM, VW), pp. 1433–1436.

ECIR-2010-AgarwalC #algorithm #information retrieval #ranking

Maximum Margin Ranking Algorithms for Information Retrieval (SA, MC), pp. 332–343.

ECIR-2010-AlonsoST #crowdsourcing #retrieval #xml

Crowdsourcing Assessments for XML Ranked Retrieval (OA, RS, MT), pp. 602–606.

ECIR-2010-PengMO #learning #ranking

Learning to Select a Ranking Function (JP, CM, IO), pp. 114–126.

ECIR-2010-SaldarriagaMV #information retrieval #online #ranking

Ranking Fusion Methods Applied to On-Line Handwriting Information Retrieval (SPS, EM, CVG), pp. 253–264.

ECIR-2010-YinHL #information retrieval #ranking #using #wiki

Promoting Ranking Diversity for Biomedical Information Retrieval Using Wikipedia (XY, XH, ZL), pp. 495–507.

ECIR-2010-ZucconA #documentation #probability #quantum #rank #ranking #using

Using the Quantum Probability Ranking Principle to Rank Interdependent Documents (GZ, LA), pp. 357–369.

ICML-2010-BordesUW #ambiguity #learning #ranking #semantics

Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences (AB, NU, JW), pp. 103–110.

ICML-2010-ChengDH #ranking

Label Ranking Methods based on the Plackett-Luce Model (WC, KD, EH), pp. 215–222.

ICML-2010-DuchiMJ #algorithm #consistency #on the #ranking

On the Consistency of Ranking Algorithms (JCD, LWM, MIJ), pp. 327–334.

ICML-2010-HuangG #independence #learning #ranking

Learning Hierarchical Riffle Independent Groupings from Rankings (JH, CG), pp. 455–462.

ICML-2010-LiuLY #rank #representation #robust #segmentation

Robust Subspace Segmentation by Low-Rank Representation (GL, ZL, YY), pp. 663–670.

ICML-2010-McFeeL #learning #metric #rank

Metric Learning to Rank (BM, GRGL), pp. 775–782.

ICML-2010-NegahbanW #estimation #matrix #rank #scalability

Estimation of (near) low-rank matrices with noise and high-dimensional scaling (SN, MJW), pp. 823–830.

ICML-2010-SlivkinsRG #documentation #learning #ranking #scalability

Learning optimally diverse rankings over large document collections (AS, FR, SG), pp. 983–990.

ICML-2010-TomiokaSSK #algorithm #learning #matrix #performance #rank

A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices (RT, TS, MS, HK), pp. 1087–1094.

ICPR-2010-AshrafSF #constraints #invariant #rank #recognition #using

View-Invariant Action Recognition Using Rank Constraint (NA, YS, HF), pp. 3611–3614.

ICPR-2010-ChangCH #approach #estimation #image #ranking

A Ranking Approach for Human Ages Estimation Based on Face Images (KYC, CSC, YPH), pp. 3396–3399.

ICPR-2010-DiamantiniGP #ranking

Feature Ranking Based on Decision Border (CD, AG, DP), pp. 609–612.

ICPR-2010-JinLLWG #ranking #topic

Topic-Sensitive Tag Ranking (YJ, RL, ZL, KW, XG), pp. 629–632.

ICPR-2010-LeeJJ #image #ranking #retrieval #scalability

Unsupervised Ensemble Ranking: Application to Large-Scale Image Retrieval (JEL, RJ, AKJ), pp. 3902–3906.

ICPR-2010-PiroonratanaWUALC #identification #morphism #nondeterminism #ranking #symmetry #using

Identification of Ancestry Informative Markers from Chromosome-Wide Single Nucleotide Polymorphisms Using Symmetrical Uncertainty Ranking (TP, WW, TU, AA, CL, NC), pp. 2448–2451.

ICPR-2010-YangZM #estimation #ranking

Ranking Model for Facial Age Estimation (PY, LZ, DNM), pp. 3404–3407.

KDD-2010-ChapelleSVWZT #learning #multi #ranking #web

Multi-task learning for boosting with application to web search ranking (OC, PKS, SV, KQW, YZ, BLT), pp. 1189–1198.

KDD-2010-ChenLY #learning #multi #rank

Learning incoherent sparse and low-rank patterns from multiple tasks (JC, JL, JY), pp. 1179–1188.

KDD-2010-HeFLC #graph #parallel #scalability

Parallel SimRank computation on large graphs with iterative aggregation (GH, HF, CL, HC), pp. 543–552.

KDD-2010-MeiGR #named #network

DivRank: the interplay of prestige and diversity in information networks (QM, JG, DRR), pp. 1009–1018.

KDD-2010-Sculley #ranking

Combined regression and ranking (DS), pp. 979–988.

KDIR-2010-ZhuLC #ranking

Ranking Classes of Search Engine Results (ZZ, ML, IJC), pp. 294–301.

RecSys-2010-BaltrunasMR #collaboration #rank #recommendation

Group recommendations with rank aggregation and collaborative filtering (LB, TM, FR), pp. 119–126.

RecSys-2010-ShiLH #collaboration #learning #matrix #rank

List-wise learning to rank with matrix factorization for collaborative filtering (YS, ML, AH), pp. 269–272.

SIGIR-2010-BagherjeiranHR #ranking

Ranking for the conversion funnel (AB, AOH, AR), pp. 146–153.

SIGIR-2010-CaputoBS #approach #ranking #semantics

From fusion to re-ranking: a semantic approach (AC, PB, GS), pp. 815–816.

SIGIR-2010-ChenMCRH #detection #rank #web

Web page publication time detection and its application for page rank (ZC, JM, CC, HR, SH), pp. 859–860.

SIGIR-2010-DangBC #learning #query #rank

Learning to rank query reformulations (VD, MB, WBC), pp. 807–808.

SIGIR-2010-DiazMA #online #ranking

Relevance and ranking in online dating systems (FD, DM, SAY), pp. 66–73.

SIGIR-2010-GaoCWZ #learning #rank #using

Learning to rank only using training data from related domain (WG, PC, KFW, AZ), pp. 162–169.

SIGIR-2010-HeR #approach #automation #detection #generative #ranking

A ranking approach to target detection for automatic link generation (JH, MdR), pp. 831–832.

SIGIR-2010-KimC #documentation #multi #ranking #using

Ranking using multiple document types in desktop search (JK, WBC), pp. 50–57.

SIGIR-2010-Liu #information retrieval #learning #rank

Learning to rank for information retrieval (TYL), p. 904.

SIGIR-2010-LiuYSCCL #behaviour #learning #rank

Learning to rank audience for behavioral targeting (NL, JY, DS, DC, ZC, YL), pp. 719–720.

SIGIR-2010-LongCZCZT #learning #optimisation #ranking

Active learning for ranking through expected loss optimization (BL, OC, YZ, YC, ZZ, BLT), pp. 267–274.

SIGIR-2010-ParkC #dependence #parsing #query #ranking

Query term ranking based on dependency parsing of verbose queries (JHP, WBC), pp. 829–830.

SIGIR-2010-WangLM #learning #rank

Learning to efficiently rank (LW, JJL, DM), pp. 138–145.

SIGIR-2010-WooLLSR #ranking #retrieval #using

Achieving high accuracy retrieval using intra-document term ranking (HWW, JTL, SWL, YIS, HCR), pp. 885–886.

SIGIR-2010-XiangJPSCL #ranking #web

Context-aware ranking in web search (BX, DJ, JP, XS, EC, HL), pp. 451–458.

SIGIR-2010-ZwolPMS #ranking

Machine learned ranking of entity facets (RvZ, LGP, MM, BS), pp. 879–880.

SAC-2010-CeciALM #approach #data mining #mining #ranking #relational

Complex objects ranking: a relational data mining approach (MC, AA, CL, DM), pp. 1071–1077.

SAC-2010-EcksteinHW #approach #multi #named #visual notation

LFRP-search: multi-layer ranked visual faceted search: an approach to cope with complex search situations (RE, AH, NW), pp. 1713–1717.

SAC-2010-LecerfC #documentation #layout #ranking #retrieval #scalability

Scalable indexing for layout based document retrieval and ranking (LL, BC), pp. 28–32.

SAC-2010-MiyanishiSU #generative #ranking

Hypothesis generation and ranking based on event similarities (TM, KS, KU), pp. 1552–1558.

CASE-2009-FanL #effectiveness #ranking

A Bayesian Ranking Scheme for supporting cost-effective yield diagnosis services (CMF, YPL), pp. 427–432.

DAC-2009-CallegariWB #analysis #ranking

Speedpath analysis based on hypothesis pruning and ranking (NC, LCW, PB), pp. 346–351.

DAC-2009-XiongVZ #correlation #ranking #statistics

Statistical ordering of correlated timing quantities and its application for path ranking (JX, CV, VZ), pp. 122–125.

HT-2009-AbelBBHKP #folksonomy #ranking

Context-based ranking in folksonomies (FA, MB, CB, NH, DK, VP), pp. 209–218.

HT-2009-BruckschenVR #navigation #ontology #ranking #topic

Named entities for hot topics ranking and ontology navigation aid (MB, RV, SJR), pp. 373–374.

ICDAR-2009-ParakhinH #probability #ranking

Finding the Most Probable Ranking of Objects with Probabilistic Pairwise Preferences (MP, PMH), pp. 616–620.

SIGMOD-2009-BercovitzKKLZG #named #social

CourseRank: a social system for course planning (BB, FK, GK, HL, ZMZ, HGM), pp. 1107–1110.

SIGMOD-2009-FingerP #algorithm #evaluation #performance #rank #robust

Robust and efficient algorithms for rank join evaluation (JF, NP), pp. 415–428.

SIGMOD-2009-LiYJ #distributed #probability #ranking

Ranking distributed probabilistic data (FL, KY, JJ), pp. 361–374.

VLDB-2009-BrauerBHSMF #documentation #graph #named #retrieval

RankIE: Document Retrieval on Ranked Entity Graphs (FB, WMB, GH, MS, AM, FF), pp. 1578–1581.

VLDB-2009-ChaudhuriD #database #keyword #query #ranking

Keyword querying and Ranking in Databases (SC, GD), pp. 1658–1659.

VLDB-2009-LiSD #approach #database #probability #ranking

A Unified Approach to Ranking in Probabilistic Databases (JL, BS, AD), pp. 502–513.

ICPC-J-2008-HindleGH09 #complexity #rank #using

Reading beside the lines: Using indentation to rank revisions by complexity (AH, MWG, RCH), pp. 414–429.

ICSM-2009-YokomoriSNI #component #framework #impact analysis #ranking #using

Assessing the impact of framework changes using component ranking (RY, HPS, MN, KI), pp. 189–198.

STOC-2009-AzarGY #multi #ranking

Multiple intents re-ranking (YA, IG, XY), pp. 669–678.

STOC-2009-NguyenDT #algorithm #approximate #matrix #performance #rank

A fast and efficient algorithm for low-rank approximation of a matrix (NHN, TTD, TDT), pp. 215–224.

ICEIS-AIDSS-2009-AbdoIE #algorithm #rank

Ant PageRank Algorithm (MZA, MAI, MIE), pp. 73–79.

CIKM-2009-BaiZXZSTZC #learning #multi #rank #web

Multi-task learning for learning to rank in web search (JB, KZ, GRX, HZ, GS, BLT, ZZ, YC), pp. 1549–1552.

CIKM-2009-CarteretteC #documentation #modelling #novel #probability #ranking #retrieval #topic

Probabilistic models of ranking novel documents for faceted topic retrieval (BC, PC), pp. 1287–1296.

CIKM-2009-ChangYQ #documentation #ranking

Context-sensitive document ranking (LC, JXY, LQ), pp. 1533–1536.

CIKM-2009-ChapelleMZG #rank

Expected reciprocal rank for graded relevance (OC, DM, YZ, PG), pp. 621–630.

CIKM-2009-ChenBRT #adaptation #effectiveness #on the #similarity

On domain similarity and effectiveness of adapting-to-rank (KC, JB, SR, BLT), pp. 1601–1604.

CIKM-2009-ChenWL #kernel #learning #novel #rank

Learning to rank with a novel kernel perceptron method (XwC, HW, XL), pp. 505–512.

CIKM-2009-ChuiLKH #query #ranking #sequence

Supporting ranking pattern-based aggregate queries in sequence data cubes (CKC, EL, BK, WSH), pp. 997–1006.

CIKM-2009-ElbassuoniRSSW #query #ranking

Language-model-based ranking for queries on RDF-graphs (SE, MR, RS, MS, GW), pp. 977–986.

CIKM-2009-GengYXH #adaptation #ranking

Ranking model adaptation for domain-specific search (BG, LY, CX, XSH), pp. 197–206.

CIKM-2009-GwaderaC #mining #ranking #using

Mining and ranking streams of news stories using cross-stream sequential patterns (RG, FC), pp. 1709–1712.

CIKM-2009-HauffHJA #estimation #ranking #set #topic

Relying on topic subsets for system ranking estimation (CH, DH, FdJ, LA), pp. 1859–1862.

CIKM-2009-HeZSC #clustering #data type #multi #query #rank

Cluster based rank query over multidimensional data streams (DH, YZ, LS, GC), pp. 1493–1496.

CIKM-2009-KrikonKB #ranking

Utilizing inter-passage and inter-document similarities for re-ranking search results (EK, OK, MB), pp. 1597–1600.

CIKM-2009-KuoCW #learning #rank

Learning to rank from Bayesian decision inference (JWK, PJC, HMW), pp. 827–836.

CIKM-2009-LeeCKC #approach #dependence #query #ranking

A term dependency-based approach for query terms ranking (CJL, RCC, SHK, PJC), pp. 1267–1276.

CIKM-2009-LiLJZCD #evaluation #ranking #robust #web

Incorporating robustness into web ranking evaluation (XL, FL, SJ, ZZ, YC, AD), pp. 2007–2010.

CIKM-2009-LiuB #community #ranking

Computational community interest for ranking (XL, VvB), pp. 245–254.

CIKM-2009-LiuLW #order

Post-rank reordering: resolving preference misalignments between search engines and end users (CL, ML, YMW), pp. 641–650.

CIKM-2009-LiuWC #effectiveness #ranking #retrieval #xml

Effective XML content and structure retrieval with relevance ranking (XL, CW, LC), pp. 147–156.

CIKM-2009-LiuZSNW #clustering #documentation #query #ranking

Clustering queries for better document ranking (YL, LZ, RS, JYN, JRW), pp. 1569–1572.

CIKM-2009-MacdonaldO #documentation #ranking

The influence of the document ranking in expert search (CM, IO), pp. 1983–1986.

CIKM-2009-PanCASD #feature model #ranking #using

Feature selection for ranking using boosted trees (FP, TC, DA, FS, GD), pp. 2025–2028.

CIKM-2009-PattanasriMM #comprehension #graph #named #random

ComprehEnRank: estimating comprehension in classroom by absorbing random walks on a cognitive graph (NP, MM, MM), pp. 1769–1772.

CIKM-2009-ShiLMW #rank

Nonlinear static-rank computation (SS, BL, YM, JRW), pp. 807–816.

CIKM-2009-SongPLZQ #keyword #modelling #ranking #topic

Topic and keyword re-ranking for LDA-based topic modeling (YS, SP, SL, MXZ, WQ), pp. 1757–1760.

CIKM-2009-StoyanovichA #clustering #dataset

Rank-aware clustering of structured datasets (JS, SAY), pp. 1429–1432.

CIKM-2009-SunMG09a #graph #learning #online #rank

Learning to rank graphs for online similar graph search (BS, PM, CLG), pp. 1871–1874.

CIKM-2009-WangML #learning #programming #question #rank #search-based #using

Learning to rank using evolutionary computation: immune programming or genetic programming? (SW, JM, JL), pp. 1879–1882.

CIKM-2009-WangTFCYL #ranking

Heterogeneous cross domain ranking in latent space (BW, JT, WF, SC, ZY, YL), pp. 987–996.

CIKM-2009-WangWLL #named #query #ranking #summary

HyperSum: hypergraph based semi-supervised sentence ranking for query-oriented summarization (WW, FW, WL, SL), pp. 1855–1858.

CIKM-2009-WeiLWH #framework #interactive #named #ranking #summary

iRANK: an interactive ranking framework and its application in query-focused summarization (FW, WL, WW, YH), pp. 1557–1560.

CIKM-2009-WuCZZ #approach #definite clause grammar #learning #novel #rank #using

Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions (MW, YC, ZZ, HZ), pp. 1923–1926.

CIKM-2009-YuOH #performance #ranking

Efficient feature weighting methods for ranking (HY, JO, WSH), pp. 1157–1166.

CIKM-2009-ZhaoHS #named #network #similarity

P-Rank: a comprehensive structural similarity measure over information networks (PZ, JH, YS), pp. 553–562.

CIKM-2009-ZhuCWZWC #divide and conquer #learning #query #ranking

To divide and conquer search ranking by learning query difficulty (ZAZ, WC, TW, CZ, GW, ZC), pp. 1883–1886.

CIKM-2009-ZhuCZWWC #algorithm #ranking

A general magnitude-preserving boosting algorithm for search ranking (CZ, WC, ZAZ, GW, DW, ZC), pp. 817–826.

ECIR-2009-Ailon #algorithm #linear #query #ranking #using

A Simple Linear Ranking Algorithm Using Query Dependent Intercept Variables (NA), pp. 685–690.

ECIR-2009-DemartiniGN #ranking

A Vector Space Model for Ranking Entities and Its Application to Expert Search (GD, JG, WN), pp. 189–201.

ECIR-2009-DonmezC #learning #optimisation #rank

Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve (PD, JGC), pp. 78–89.

ECIR-2009-GaoNZW #multi #ranking #web

Joint Ranking for Multilingual Web Search (WG, CN, MZ, KFW), pp. 114–125.

ECIR-2009-LeaseAC #learning #query #rank

Regression Rank: Learning to Meet the Opportunity of Descriptive Queries (ML, JA, WBC), pp. 90–101.

ECIR-2009-LiZ #named #navigation #retrieval #web

PathRank: Web Page Retrieval with Navigation Path (JL, YZ), pp. 350–361.

ECIR-2009-Wang #analysis #documentation #information retrieval #ranking

Mean-Variance Analysis: A New Document Ranking Theory in Information Retrieval (JW0), pp. 4–16.

ICML-2009-ChengHH #learning #ranking

Decision tree and instance-based learning for label ranking (WC, JCH, EH), pp. 161–168.

ICML-2009-GuiverS #modelling #ranking

Bayesian inference for Plackett-Luce ranking models (JG, ES), pp. 377–384.

ICML-2009-LanLML #algorithm #analysis #ranking

Generalization analysis of listwise learning-to-rank algorithms (YL, TYL, ZM, HL), pp. 577–584.

ICML-2009-Rueping #ranking

Ranking interesting subgroups (SR), pp. 913–920.

ICML-2009-UsunierBG #classification #order #ranking

Ranking with ordered weighted pairwise classification (NU, DB, PG), pp. 1057–1064.

ICML-2009-VolkovsZ #learning #named #ranking

BoltzRank: learning to maximize expected ranking gain (MV, RSZ), pp. 1089–1096.

KDD-2009-Delage #library #online #ranking

Regret-based online ranking for a growing digital library (ED), pp. 229–238.

KDD-2009-RendleMNS #learning #ranking #recommendation

Learning optimal ranking with tensor factorization for tag recommendation (SR, LBM, AN, LST), pp. 727–736.

KDD-2009-SunYH #clustering #network

Ranking-based clustering of heterogeneous information networks with star network schema (YS, YY, JH), pp. 797–806.

KDD-2009-WangWZ #named #quality #ranking #web

PSkip: estimating relevance ranking quality from web search clickthrough data (KW, TW, ZZ), pp. 1355–1364.

RecSys-2009-HelouSSG #process #ranking #recommendation

The 3A contextual ranking system: simultaneously recommending actors, assets, and group activities (SEH, CS, SS, DG), pp. 373–376.

RecSys-2009-MarlinZ #collaboration #predict #ranking

Collaborative prediction and ranking with non-random missing data (BMM, RSZ), pp. 5–12.

SIGIR-2009-AmbaiY #clustering #image #multi #ranking #set #visual notation

Multiclass VisualRank: image ranking method in clustered subsets based on visual features (MA, YY), pp. 732–733.

SIGIR-2009-AminiU #algorithm #information management #multi #ranking #summary

Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization (MRA, NU), pp. 704–705.

SIGIR-2009-ArampatzisKR #optimisation #using

Where to stop reading a ranked list?: threshold optimization using truncated score distributions (AA, JK, SR), pp. 524–531.

SIGIR-2009-AslamKPSY #documentation #effectiveness #performance #ranking

Document selection methodologies for efficient and effective learning-to-rank (JAA, EK, VP, SS, EY), pp. 468–475.

SIGIR-2009-BanerjeeCR #learning #query #rank

Learning to rank for quantity consensus queries (SB, SC, GR), pp. 243–250.

SIGIR-2009-Carterette #correlation #distance #on the #rank #ranking

On rank correlation and the distance between rankings (BC), pp. 436–443.

SIGIR-2009-ChangDLZ #ranking #topic

Enhancing topical ranking with preferences from click-through data (YC, AD, CL, ZZ), pp. 666–667.

SIGIR-2009-CormackCB #learning #rank

Reciprocal rank fusion outperforms condorcet and individual rank learning methods (GVC, CLAC, SB), pp. 758–759.

SIGIR-2009-DonmezSB #on the

On the local optimality of λRank (PD, KMS, CJCB), pp. 460–467.

SIGIR-2009-GaoYLDN #ranking #web

Smoothing clickthrough data for web search ranking (JG, WY, XL, KD, JYN), pp. 355–362.

SIGIR-2009-GuanBMCW #graph #multi #personalisation #ranking #recommendation #using

Personalized tag recommendation using graph-based ranking on multi-type interrelated objects (ZG, JB, QM, CC, CW), pp. 540–547.

SIGIR-2009-HuangH #approach #information retrieval #learning #ranking

A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval (XH, QH), pp. 307–314.

SIGIR-2009-JiangHL #approach #ranking

A ranking approach to keyphrase extraction (XJ, YH, HL), pp. 756–757.

SIGIR-2009-JinW #named #ranking

CDPRanking: discovering and ranking cross-document paths between entities (WJ, XW), p. 844.

SIGIR-2009-JiZLZXCSZ #ranking

Global ranking by exploiting user clicks (SJ, KZ, CL, ZZ, GRX, OC, GS, HZ), pp. 35–42.

SIGIR-2009-LiLJZ #ranking #robust #web

Comparing both relevance and robustness in selection of web ranking functions (FL, XL, SJ, ZZ), pp. 648–649.

SIGIR-2009-LiLLL #framework #information retrieval #probability #ranking #topic

A probabilistic topic-based ranking framework for location-sensitive domain information retrieval (HL, ZL, WCL, DLL), pp. 331–338.

SIGIR-2009-Liu #community #ranking #using

Using computational community interest as an indicator for ranking (XL), p. 851.

SIGIR-2009-MacdonaldO #documentation #on the #ranking

On perfect document rankings for expert search (CM, IO), pp. 740–741.

SIGIR-2009-NollYGMS #folksonomy #ranking

Telling experts from spammers: expertise ranking in folksonomies (MGN, CmAY, NG, CM, NS), pp. 612–619.

SIGIR-2009-OlssonO #independence #retrieval #robust #speech

Combining LVCSR and vocabulary-independent ranked utterance retrieval for robust speech search (JSO, DWO), pp. 91–98.

SIGIR-2009-PesericoP #convergence #rank

Score and rank convergence of HITS (EP, LP), pp. 770–771.

SIGIR-2009-SunQTW #learning #metric #rank #ranking #robust

Robust sparse rank learning for non-smooth ranking measures (ZS, TQ, QT, JW), pp. 259–266.

SIGIR-2009-WangTFZ #community #modelling #ranking #reasoning

Ranking community answers by modeling question-answer relationships via analogical reasoning (XJW, XT, DF, LZ), pp. 179–186.

SIGIR-2009-YangWGH #learning #query #ranking #web

Query sampling for ranking learning in web search (LY, LW, BG, XSH), pp. 754–755.

SIGIR-2009-YilmazR #learning #rank

Deep versus shallow judgments in learning to rank (EY, SR), pp. 662–663.

SAC-2009-AbreuMSG #fault #locality #ranking

Refining spectrum-based fault localization rankings (RA, WM, MS, AJCvG), pp. 409–414.

SAC-2009-BacharM #classification #novel #ranking

A novel distance-based classifier built on pattern ranking (DB, RM), pp. 1427–1432.

SAC-2009-MagaudNS #coq #formal method #theorem #using

Formalizing Desargues’ theorem in Coq using ranks (NM, JN, PS), pp. 1110–1115.

CAV-2009-Ben-Amram #constraints #ranking #termination

Size-Change Termination, Monotonicity Constraints and Ranking Functions (AMBA), pp. 109–123.

LICS-2009-DawarGHL #logic #rank

Logics with Rank Operators (AD, MG, BH, BL), pp. 113–122.

TLCA-2009-Urzyczyn #rank

Inhabitation of Low-Rank Intersection Types (PU), pp. 356–370.

HT-2008-LeeBG #community #ranking #similarity #using

Extracting and ranking viral communities using seeds and content similarity (HCL, AB, LG), pp. 139–148.

PODS-2008-SarmaGP #graph #rank

Estimating PageRank on graph streams (ADS, SG, RP), pp. 69–78.

PODS-2008-SchnaitterP #rank

Evaluating rank joins with optimal cost (KS, NP), pp. 43–52.

SIGMOD-2008-AndoniFKPS #classification #performance #rank #similarity

Corrigendum to “efficient similarity search and classification via rank aggregation” by Ronald Fagin, Ravi Kumar and D. Sivakumar (proc. SIGMOD’03) (AA, RF, RK, MP, DS), pp. 1375–1376.

SIGMOD-2008-BansalGK #ad hoc

Ad-hoc aggregations of ranked lists in the presence of hierarchies (NB, SG, NK), pp. 67–78.

SIGMOD-2008-FengFN #order #ranking

Discovering bucket orders from full rankings (JF, QF, WN), pp. 55–66.

SIGMOD-2008-GouC #algorithm #graph #pattern matching #performance

Efficient algorithms for exact ranked twig-pattern matching over graphs (GG, RC), pp. 581–594.

SIGMOD-2008-HuaPZL #approach #nondeterminism #probability #query #ranking

Ranking queries on uncertain data: a probabilistic threshold approach (MH, JP, WZ, XL), pp. 673–686.

SIGMOD-2008-KasneciSIERW #named #ranking

NAGA: harvesting, searching and ranking knowledge (GK, FMS, GI, SE, MR, GW), pp. 1285–1288.

SIGMOD-2008-WuXH #named #query #ranking

ARCube: supporting ranking aggregate queries in partially materialized data cubes (TW, DX, JH), pp. 79–92.

VLDB-2008-LizorkinVGT #optimisation

Accuracy estimate and optimization techniques for SimRank computation (DL, PV, MNG, DT), pp. 422–433.

VLDB-2008-MachanavajjhalaVGS #scalability

Scalable ranked publish/subscribe (AM, EV, MNG, JS), pp. 451–462.

ESOP-2008-ChawdharyCGSY #abstraction #ranking

Ranking Abstractions (AC, BC, SG, MS, HY), pp. 148–162.

FoSSaCS-2008-PattinsonS #algebra #finite #logic #modelling #rank #semantics

Beyond Rank 1: Algebraic Semantics and Finite Models for Coalgebraic Logics (DP, LS), pp. 66–80.

TACAS-2008-Ben-AmramC #approach #ranking #satisfiability #termination

A SAT-Based Approach to Size Change Termination with Global Ranking Functions (AMBA, MC), pp. 218–232.

CIAA-2008-Fujiyoshi #automaton #context-free grammar

Combination of Context-Free Grammars and Tree Automata for Unranked and Ranked Trees (AF), pp. 283–285.

ICEIS-ISAS2-2008-PivetaMPAGP #process #ranking #refactoring #using

Ranking Refactoring Patterns Using the Analytical Hierarchy Process (EKP, AMDM, MSP, JA, PG, RTP), pp. 195–200.

CIKM-2008-AbelHK #folksonomy #question #ranking

Ranking in folksonomy systems: can context help? (FA, NH, DK), pp. 1429–1430.

CIKM-2008-AcharyyaG #analysis #product line

A spam resistant family of concavo-convex ranks for link analysis (SA, JG), pp. 1505–1506.

CIKM-2008-CarvalhoECC #ranking

Suppressing outliers in pairwise preference ranking (VRC, JLE, WWC, JGC), pp. 1487–1488.

CIKM-2008-ChenLWSHT #adaptation #named #ranking

Trada: tree based ranking function adaptation (KC, RL, CKW, GS, LPH, BLT), pp. 1143–1152.

CIKM-2008-ChenWSZ #ranking

Semi-supervised ranking aggregation (SC, FW, YS, CZ), pp. 1427–1428.

CIKM-2008-DouSYW #learning #question #ranking #web

Are click-through data adequate for learning web search rankings? (ZD, RS, XY, JRW), pp. 73–82.

CIKM-2008-MacdonaldO #ranking

Key blog distillation: ranking aggregates (CM, IO), pp. 1043–1052.

CIKM-2008-NguyenS08a #correlation #order #query #rank

Polyhedral transformation for indexed rank order correlation queries (PN, NS), pp. 1477–1478.

CIKM-2008-PickensG #ad hoc #modelling #retrieval

Ranked feature fusion models for ad hoc retrieval (JP, GG), pp. 893–900.

CIKM-2008-TodaYMK #ranking

Incorporating place name extents into geo-ir ranking (HT, NY, YM, RK), pp. 1489–1490.

CIKM-2008-VinayMC #effectiveness #rank #retrieval #using

Estimating retrieval effectiveness using rank distributions (VV, NMF, IJC), pp. 1425–1426.

CIKM-2008-WangTL #hybrid #named #ranking #scalability #towards

CE2: towards a large scale hybrid search engine with integrated ranking support (HW, TT, CL), pp. 1323–1324.

CIKM-2008-WangZRM #automation #online #ranking #topic #using

Automatic online news topic ranking using media focus and user attention based on aging theory (CW, MZ, LR, SM), pp. 1033–1042.

ECIR-2008-CarvalhoC #ranking

Ranking Users for Intelligent Message Addressing (VRC, WWC), pp. 321–333.

ECIR-2008-DemartiniCBN #category theory #ranking #web

Ranking Categories for Web Search (GD, PAC, IB, WN), pp. 564–569.

ECIR-2008-NaKL08a #clustering #ranking #retrieval

Structural Re-ranking with Cluster-Based Retrieval (SHN, ISK, JHL), pp. 658–662.

ECIR-2008-PehcevskiVT #locality #ranking #wiki

Exploiting Locality of Wikipedia Links in Entity Ranking (JP, AMV, JAT), pp. 258–269.

ICML-2008-BergeronZBB #multi #ranking

Multiple instance ranking (CB, JZ, CMB, KPB), pp. 48–55.

ICML-2008-BiggsGV #matrix

Nonnegative matrix factorization via rank-one downdate (MB, AG, SAV), pp. 64–71.

ICML-2008-DonmezC #learning #optimisation #rank #reduction

Optimizing estimated loss reduction for active sampling in rank learning (PD, JGC), pp. 248–255.

ICML-2008-KlementievRS #modelling #rank

Unsupervised rank aggregation with distance-based models (AK, DR, KS), pp. 472–479.

ICML-2008-LanLQML #learning #rank

Query-level stability and generalization in learning to rank (YL, TYL, TQ, ZM, HL), pp. 512–519.

ICML-2008-MekaJCD #learning #online #rank

Rank minimization via online learning (RM, PJ, CC, ISD), pp. 656–663.

ICML-2008-OuyangG #learning #ranking

Learning dissimilarities by ranking: from SDP to QP (HO, AGG), pp. 728–735.

ICML-2008-RadlinskiKJ #learning #multi #ranking

Learning diverse rankings with multi-armed bandits (FR, RK, TJ), pp. 784–791.

ICML-2008-XiaLWZL #algorithm #approach #learning #rank

Listwise approach to learning to rank: theory and algorithm (FX, TYL, JW, WZ, HL), pp. 1192–1199.

ICML-2008-ZhangTK #analysis #approximate #fault #rank

Improved Nyström low-rank approximation and error analysis (KZ, IWT, JTK), pp. 1232–1239.

ICPR-2008-TanHL #orthogonal #recognition

Face recognition based on LBP and orthogonal rank-one tensor projections (NT, LH, CL), pp. 1–4.

ICPR-2008-XiaRH #invariant #ranking #robust #visual notation

Ranking the local invariant features for the robust visual saliencies (SX, PR, ERH), pp. 1–4.

ICPR-2008-ZhangW #clustering #order #ranking

Partial closure-based constrained clustering with order ranking (SZ, HSW), pp. 1–4.

ICPR-2008-ZitouniSOD #algorithm #graph #image #ranking #using #web

Re-ranking of web image search results using a graph algorithm (HZ, SGS, DO, PD), pp. 1–4.

KDD-2008-ChakrabartiKSB #learning #ranking

Structured learning for non-smooth ranking losses (SC, RK, US, CB), pp. 88–96.

KDD-2008-EshghiR #locality #order #rank #statistics

Locality sensitive hash functions based on concomitant rank order statistics (KE, SR), pp. 221–229.

RecSys-2008-ZanardiC #ranking #recommendation #social #using

Social ranking: uncovering relevant content using tag-based recommender systems (VZ, LC), pp. 51–58.

SIGIR-2008-AminiTG #algorithm #learning #ranking

A boosting algorithm for learning bipartite ranking functions with partially labeled data (MRA, TVT, CG), pp. 99–106.

SIGIR-2008-Bar-YossefM #approximate #rank

Local approximation of PageRank and reverse PageRank (ZBY, LTM), pp. 865–866.

SIGIR-2008-BenderskyK #graph #ranking #using

Re-ranking search results using document-passage graphs (MB, OK), pp. 853–854.

SIGIR-2008-BerlocherLK #named #topic

TopicRank: bringing insight to users (IB, KIL, KK), pp. 703–704.

SIGIR-2008-DuhK #learning #rank

Learning to rank with partially-labeled data (KD, KK), pp. 251–258.

SIGIR-2008-GengLQALS #nearest neighbour #query #ranking #using

Query dependent ranking using K-nearest neighbor (XG, TYL, TQ, AA, HL, HYS), pp. 115–122.

SIGIR-2008-GuiverS #learning #process #rank

Learning to rank with SoftRank and Gaussian processes (JG, ES), pp. 259–266.

SIGIR-2008-HeMO08a #ranking #using

Ranking opinionated blog posts using OpinionFinder (BH, CM, IO), pp. 727–728.

SIGIR-2008-Kurland #approach #clustering #documentation #ranking

The opposite of smoothing: a language model approach to ranking query-specific document clusters (OK), pp. 171–178.

SIGIR-2008-KurlandD #approach #clustering

A rank-aggregation approach to searching for optimal query-specific clusters (OK, CD), pp. 547–554.

SIGIR-2008-LiuGLZMHL #named #rank #web

BrowseRank: letting web users vote for page importance (YL, BG, TYL, YZ, ZM, SH, HL), pp. 451–458.

SIGIR-2008-LiuLLJ #clustering #geometry #query #ranking

Spectral geometry for simultaneously clustering and ranking query search results (YL, WL, YL, LJ), pp. 539–546.

SIGIR-2008-LiuY #approach #collaboration #named

EigenRank: a ranking-oriented approach to collaborative filtering (NNL, QY), pp. 83–90.

SIGIR-2008-MerhavF #multi #on the #peer-to-peer #ranking

On multiword entity ranking in peer-to-peer search (YM, OF), pp. 859–860.

SIGIR-2008-RodeSH #ranking

Combining document- and paragraph-based entity ranking (HR, PS, DH), pp. 851–852.

SIGIR-2008-VelosoAGM #learning #rank #using

Learning to rank at query-time using association rules (AV, HMdA, MAG, WMJ), pp. 267–274.

SIGIR-2008-XuLLLM #evaluation #learning #metric #optimisation #rank

Directly optimizing evaluation measures in learning to rank (JX, TYL, ML, HL, WYM), pp. 107–114.

SIGIR-2008-YilmazAR #correlation #information retrieval #rank

A new rank correlation coefficient for information retrieval (EY, JAA, SR), pp. 587–594.

SIGIR-2008-ZhangZL #algorithm #rank #recommendation #topic

A topical PageRank based algorithm for recommender systems (LZ, KZ, CL), pp. 713–714.

SIGIR-2008-ZhouXZY #learning #rank

Learning to rank with ties (KZ, GRX, HZ, YY), pp. 275–282.

SAC-2008-Blomqvist #automation #ontology #ranking

Pattern ranking for semi-automatic ontology construction (EB), pp. 2248–2255.

SAC-2008-ConstantinA #distributed #ranking #xml

Usage-based ranking of distributed XML data (CC, BA), pp. 1008–1012.

SAC-2008-LeeH #quality #ranking

Ranking with tagging as quality indicators (JL, SwH), pp. 2432–2436.

SAC-2008-TanWC #categorisation #performance #ranking

An efficient feature ranking measure for text categorization (ST, YW, XC), pp. 407–413.

SAC-2008-VercoustreTP #ranking #wiki

Entity ranking in Wikipedia (AMV, JAT, JP), pp. 1101–1106.

HPDC-2008-LaforenzaNS #collaboration #ranking #workflow

Collaborative ranking of grid-enabled workflow service providers (DL, FMN, FS), pp. 227–228.

CAV-2008-AlurKW #automaton #game studies #ranking #requirements

Ranking Automata and Games for Prioritized Requirements (RA, AK, GW), pp. 240–253.

CSL-2008-Place #logic

Characterization of Logics over Ranked Tree Languages (TP), pp. 401–415.

SIGMOD-2007-AgrawalEKV #ranking

Auditing disclosure by relevance ranking (RA, AVE, JK, RV), pp. 79–90.

SIGMOD-2007-HeWYY #graph #keyword #named

BLINKS: ranked keyword searches on graphs (HH, HW, JY, PSY), pp. 305–316.

SIGMOD-2007-LiWLWC #clustering #ranking

Supporting ranking and clustering as generalized order-by and group-by (CL, MW, LL, HW, KCCC), pp. 127–138.

SIGMOD-2007-SolimanIC #database #evaluation #named #nondeterminism #performance #query

URank: formulation and efficient evaluation of top-k queries in uncertain databases (MAS, IFI, KCCC), pp. 1082–1084.

SIGMOD-2007-XinHC #ad hoc #ranking

Progressive and selective merge: computing top-k with ad-hoc ranking functions (DX, JH, KCCC), pp. 103–114.

VLDB-2007-ChengYC #named

EntityRank: Searching Entities Directly and Holistically (TC, XY, KCCC), pp. 387–398.

VLDB-2007-ChoS #crawling #rank

RankMass Crawler: A Crawler with High PageRank Coverage Guarantee (JC, US), pp. 375–386.

VLDB-2007-HanLMJ #database #sequence

Ranked Subsequence Matching in Time-Series Databases (WSH, JL, YSM, HJ), pp. 423–434.

VLDB-2007-QiCS #graph #query

Sum-Max Monotonic Ranked Joins for Evaluating Top-K Twig Queries on Weighted Data Graphs (YQ, KSC, MLS), pp. 507–518.

VLDB-2007-SchnaitterSP #estimation #optimisation #query #ranking

Depth Estimation for Ranking Query Optimization (KS, JS, NP), pp. 902–913.

STOC-2007-Dantchev #complexity #proving #rank

Rank complexity gap for Lovász-Schrijver and Sherali-Adams proof systems (SSD), pp. 311–317.

STOC-2007-Kenyon-MathieuS #fault #how #rank

How to rank with few errors (CKM, WS), pp. 95–103.

CHI-2007-CuiWXTT #clustering #interactive #named #ranking

EasyAlbum: an interactive photo annotation system based on face clustering and re-ranking (JC, FW, RX, YT, XT), pp. 367–376.

CHI-2007-GuanC #eye tracking #rank #web

An eye tracking study of the effect of target rank on web search (ZG, EC), pp. 417–420.

OCSC-2007-SagaT #network #ranking #social

Ranking Method for Mediators in Social Network (RS, HT), pp. 151–159.

CAiSE-2007-CostacheNP #distributed #personalisation #ranking

Personalizing PageRank-Based Ranking over Distributed Collections (SC, WN, RP), pp. 111–126.

ICEIS-AIDSS-2007-PessiotTUAG #collaboration #learning #rank

Learning to Rank for Collaborative Filtering (JFP, TVT, NU, MRA, PG), pp. 145–151.

ICEIS-AIDSS-2007-RoviraASPV #ranking

Group Decision Systems for Ranking and Selection — An Application to the Accreditation of Doping Control Laboratories (XR, NA, MS, FP, MV), pp. 82–87.

CIKM-2007-SongZYZD #distance #estimation #learning #metric #ranking

Ranking with semi-supervised distance metric learning and its application to housing potential estimation (YS, BZ, WJY, CZ, JD), pp. 975–978.

CIKM-2007-VieiraFDGRR #network #performance #ranking #social

Efficient search ranking in social networks (MVV, BMF, RD, PBG, DdCR, BARN), pp. 563–572.

CIKM-2007-ZaragozaRMACA #ranking #wiki

Ranking very many typed entities on wikipedia (HZ, HR, PM, JA, MC, GA), pp. 1015–1018.

ECIR-2007-GengWLZ #ranking

Fighting Link Spam with a Two-Stage Ranking Strategy (GG, CW, QL, YZ), pp. 699–702.

ECIR-2007-MelucciP07a #named #order #rank

PageRank: When Order Changes (MM, LP), pp. 581–588.

ECIR-2007-QuarteroniMMB #classification #ranking

Advanced Structural Representations for Question Classification and Answer Re-ranking (SQ, AM, SM, RB), pp. 234–245.

ECIR-2007-Shokouhi #distributed #information retrieval

Central-Rank-Based Collection Selection in Uncooperative Distributed Information Retrieval (MS), pp. 160–172.

ECIR-2007-SunG #library #ranking

Popularity Weighted Ranking for Academic Digital Libraries (YS, CLG), pp. 605–612.

ECIR-2007-YuSLWM #image #ranking #using

Improve Ranking by Using Image Information (QY, SS, ZL, JRW, WYM), pp. 645–652.

ECIR-2007-ZhangQLBL #rank #web

N -Step PageRank for Web Search (LZ, TQ, TYL, YB, HL), pp. 653–660.

ICML-2007-AgarwalC #graph #learning #random #rank

Learning random walks to rank nodes in graphs (AA, SC), pp. 9–16.

ICML-2007-BordesBGW #multi

Solving multiclass support vector machines with LaRank (AB, LB, PG, JW), pp. 89–96.

ICML-2007-BusseOB #analysis #clustering #rank

Cluster analysis of heterogeneous rank data (LMB, PO, JMB), pp. 113–120.

ICML-2007-CaoQLTL #approach #learning #rank

Learning to rank: from pairwise approach to listwise approach (ZC, TQ, TYL, MFT, HL), pp. 129–136.

ICML-2007-CortesMR #algorithm #ranking

Magnitude-preserving ranking algorithms (CC, MM, AR), pp. 169–176.

ICML-2007-XuF #learning #linear #on the #ranking

On learning linear ranking functions for beam search (YX, AF), pp. 1047–1054.

KDD-2007-BeckerA #concept #ranking #realtime #using

Real-time ranking with concept drift using expert advice (HB, MA), pp. 86–94.

KDD-2007-ParkP #collaboration #ranking

Applying collaborative filtering techniques to movie search for better ranking and browsing (STP, DMP), pp. 550–559.

KDD-2007-RadlinskiJ #learning #ranking

Active exploration for learning rankings from clickthrough data (FR, TJ), pp. 570–579.

KDD-2007-SrihariXS #documentation #generative

Use of ranked cross document evidence trails for hypothesis generation (RKS, LX, TS), pp. 677–686.

MLDM-2007-LiuYWZ #rank

A Link-Based Rank of Postings in Newsgroup (HL, JY, JW, YZ), pp. 392–403.

SIGIR-2007-Abou-AssalehG #ranking

Geographic ranking for a local search engine (TAA, WG), p. 911.

SIGIR-2007-AlmeidaGCC #adaptation #approach #component #programming #ranking #search-based

A combined component approach for finding collection-adapted ranking functions based on genetic programming (HMdA, MAG, MC, PC), pp. 399–406.

SIGIR-2007-FarahV #approach #information retrieval #rank

An outranking approach for rank aggregation in information retrieval (MF, DV), pp. 591–598.

SIGIR-2007-GengLQL #feature model #ranking

Feature selection for ranking (XG, TYL, TQ, HL), pp. 407–414.

SIGIR-2007-Haubold #ranking #retrieval #video

Selection and ranking of text from highly imperfect transcripts for retrieval of video content (AH), pp. 791–792.

SIGIR-2007-JurczykA #analysis #ranking

Hits on question answer portals: exploration of link analysis for author ranking (PJ, EA), pp. 845–846.

SIGIR-2007-KoNS #probability #ranking #visual notation

A probabilistic graphical model for joint answer ranking in question answering (JK, EN, LS), pp. 343–350.

SIGIR-2007-LiaoC #query #ranking

Applying ranking SVM in query relaxation (CL, TC), pp. 763–764.

SIGIR-2007-NieDW #community #ranking

Ranking by community relevance (LN, BDD, BW), pp. 873–874.

SIGIR-2007-OBrienA #ranking

Focused ranking in a vertical search engine (PO, TAA), p. 912.

SIGIR-2007-QinZWLLL #multi #ranking

Ranking with multiple hyperplanes (TQ, XDZ, DSW, TYL, WL, HL), pp. 279–286.

SIGIR-2007-TroyZ #rank

Enhancing relevance scoring with chronological term rank (ADT, GQZ), pp. 599–606.

SIGIR-2007-TsaiLQCM #named #ranking

FRank: a ranking method with fidelity loss (MFT, TYL, TQ, HHC, WYM), pp. 383–390.

SIGIR-2007-Wan07a #multi #named #summary

TimedTextRank: adding the temporal dimension to multi-document summarization (XW), pp. 867–868.

SIGIR-2007-WuLW #probability #rank #ranking

Probability ranking principle via optimal expected rank (HCW, RWPL, KFW), pp. 713–714.

SIGIR-2007-XuL #algorithm #information retrieval #named

AdaRank: a boosting algorithm for information retrieval (JX, HL), pp. 391–398.

SIGIR-2007-XuL07a #learning #rank

Learning to rank collections (JX, XL), pp. 765–766.

SIGIR-2007-YangKL #named #web

DiffusionRank: a possible penicillin for web spamming (HY, IK, MRL), pp. 431–438.

SIGIR-2007-ZhengCSZ #framework #learning #ranking #using

A regression framework for learning ranking functions using relative relevance judgments (ZZ, KC, GS, HZ), pp. 287–294.

SAC-2007-HwangY #mining #ranking

Mining and processing category ranking (SwH, HY), pp. 441–442.

SAC-2007-YouH #approach #personalisation #ranking

Personalized ranking: a contextual ranking approach (GwY, SwH), pp. 506–510.

PPoPP-2007-SaitoT #rank

Locality-aware connection management and rank assignment for wide-area MPI (HS, KT), pp. 150–151.

CSL-2007-FinkelL #rank

There Exist Some ω-Powers of Any Borel Rank (OF, DL), pp. 115–129.

ISSTA-2007-RenR #fault #heuristic #java #locality #ranking

Heuristic ranking of java program edits for fault localization (XR, BGR), pp. 239–249.

TLCA-2007-Kusmierek #problem #rank

The Inhabitation Problem for Rank Two Intersection Types (DK), pp. 240–254.

DAC-2006-YangCGJ #algorithm #matrix #parallel #rank #scalability

A parallel low-rank multilevel matrix compression algorithm for parasitic extraction of electrically large structures (CY, SC, DG, VJ), pp. 1053–1056.

DocEng-2006-Ruiz-RicoGR #automation #feature model #named #ranking

NEWPAR: an automatic feature selection and weighting schema for category ranking (FRR, JLVG, MCRS), pp. 128–137.

SIGMOD-2006-AgrawalRT #ranking

Context-sensitive ranking (RA, RR, ET), pp. 383–394.

SIGMOD-2006-ChakrabartiGHX #ranking

Ranking objects based on relationships (KC, VG, JH, DX), pp. 371–382.

SIGMOD-2006-HwangHP #database #named

ObjectRank: a system for authority-based search on databases (HH, VH, YP), pp. 796–798.

SIGMOD-2006-LiCI #ad hoc #ranking

Supporting ad-hoc ranking aggregates (CL, KCCC, IFI), pp. 61–72.

SIGMOD-2006-ZhangHCWLC #database #optimisation #query #ranking

Boolean + ranking: querying a database by k-constrained optimization (ZZ, SwH, KCCC, MW, CAL, YCC), pp. 359–370.

VLDB-2006-ParreiraDMW #approximate #distributed #network #peer-to-peer #performance #rank #web

Efficient and Decentralized PageRank Approximation in a Peer-to-Peer Web Search Network (JXP, DD, SM, GW), pp. 415–426.

VLDB-2006-XinCH #query #robust #towards

Towards Robust Indexing for Ranked Queries (DX, CC, JH), pp. 235–246.

VLDB-2006-XinHCL #approach #multi #query #ranking

Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach (DX, JH, HC, XL), pp. 463–475.

ICPC-2006-PoshyvanykMRGA #identification #probability #ranking #semantics

Combining Probabilistic Ranking and Latent Semantic Indexing for Feature Identification (DP, AM, VR, YGG, GA), pp. 137–148.

ICSM-2006-TonellaAS #ranking #testing #using

Using the Case-Based Ranking Methodology for Test Case Prioritization (PT, PA, AS), pp. 123–133.

ICALP-v1-2006-FrandsenF #matrix #rank

Dynamic Matrix Rank (GSF, PFF), pp. 395–406.

ICALP-v1-2006-Golynski #bound #rank

Optimal Lower Bounds for Rank and Select Indexes (AG), pp. 370–381.

ICFP-2006-VytiniotisWJ #rank

Boxy types: inference for higher-rank types and impredicativity (DV, SW, SLPJ), pp. 251–262.

CIKM-2006-BerberichBW #graph #performance #rank #web

Rank synopses for efficient time travel on the web graph (KB, SJB, GW), pp. 864–865.

CIKM-2006-ChenZJDM #community #multi #ranking #web

Ranking web objects from multiple communities (LC, LZ, FJ, KD, WYM), pp. 377–386.

CIKM-2006-Melucci #ranking #using

Ranking in context using vector spaces (MM), pp. 866–867.

CIKM-2006-SuWHL #database #e-commerce #query #ranking #web

Query result ranking over e-commerce web databases (WS, JW, QH, FHL), pp. 575–584.

CIKM-2006-TaylorZCRB #multi #optimisation #parametricity #ranking

Optimisation methods for ranking functions with multiple parameters (MJT, HZ, NC, SR, CB), pp. 585–593.

CIKM-2006-YangJZNX #clustering #documentation #ranking #using #validation

Document re-ranking using cluster validation and label propagation (LY, DHJ, GZ, NY, GX), pp. 690–697.

CIKM-2006-ZhouC #framework #novel #performance #predict #query #ranking #robust

Ranking robustness: a novel framework to predict query performance (YZ, WBC), pp. 567–574.

CIKM-2006-ZhuangC #query #ranking #using

Re-ranking search results using query logs (ZZ, SC), pp. 860–861.

ECIR-2006-BogersB #ranking

Authoritative Re-ranking of Search Results (TB, AvdB), pp. 519–522.

ECIR-2006-BoydellS #collaboration #ranking #web

Title and Snippet Based Result Re-ranking in Collaborative Web Search (OB, BS), pp. 484–487.

ECIR-2006-FernandezVC #normalisation #probability #rank

Probabilistic Score Normalization for Rank Aggregation (MF, DV, PC), pp. 553–556.

ECIR-2006-KohlschutterCN #parallel #performance #rank

Efficient Parallel Computation of PageRank (CK, PAC, WN), pp. 241–252.

ECIR-2006-VittautG #information retrieval #machine learning #ranking

Machine Learning Ranking for Structured Information Retrieval (JNV, PG), pp. 338–349.

ECIR-2006-YaoWLLM #layout #ranking #visual notation #web

Ranking Web News Via Homepage Visual Layout and Cross-Site Voting (JY, JW, ZL, ML, WYM), pp. 131–142.

ECIR-2006-YinP #adaptation #classification #naive bayes #rank

Adapting the Naive Bayes Classifier to Rank Procedural Texts (LY, RP), pp. 179–190.

ICML-2006-Agarwal #graph #ranking

Ranking on graph data (SA0), pp. 25–32.

ICML-2006-HuangLW #ranking

Ranking individuals by group comparisons (TKH, CJL, RCW), pp. 425–432.

ICML-2006-KulisSD #kernel #learning #matrix #rank

Learning low-rank kernel matrices (BK, MAS, ISD), pp. 505–512.

ICML-2006-SternHG #game studies #predict #ranking

Bayesian pattern ranking for move prediction in the game of Go (DHS, RH, TG), pp. 873–880.

ICPR-v2-2006-LiLW #feature model #hybrid #ranking

A Hybrid Method of Unsupervised Feature Selection Based on Ranking (YL, BLL, ZFW), pp. 687–690.

ICPR-v3-2006-BhamidipatiP

Comparing rank-inducing scoring systems (NLB, SKP), pp. 300–303.

ICPR-v3-2006-ZhuW #ranking #scalability

Scalable Representative Instance Selection and Ranking (XZ, XW), pp. 352–355.

KDD-2006-AgarwalCA #learning #rank

Learning to rank networked entities (AA, SC, SA), pp. 14–23.

KDD-2006-CaldersGJ #mining #set

Mining rank-correlated sets of numerical attributes (TC, BG, SJ), pp. 96–105.

KDD-2006-YanB #classification #optimisation #ranking

Beyond classification and ranking: constrained optimization of the ROI (LY, PB), pp. 948–953.

SEKE-2006-LiPZXS #component #ranking #retrieval

Ranking Component Retrieval Results by Leveraging User History Information (YL, YP, LZ, BX, JS), pp. 284–289.

SEKE-2006-WuHY #clustering #ranking

Salient Phrases-based Clustering and Ranking in Chinese Bulletin Board System (XW, SH, YY), pp. 73–78.

SIGIR-2006-AgichteinBD #behaviour #ranking #web

Improving web search ranking by incorporating user behavior information (EA, EB, STD), pp. 19–26.

SIGIR-2006-Baeza-YatesBC #algorithm #rank #ranking

Generalizing PageRank: damping functions for link-based ranking algorithms (RABY, PB, CC), pp. 308–315.

SIGIR-2006-CaoXLLHH #adaptation #documentation #ranking #retrieval

Adapting ranking SVM to document retrieval (YC, JX, TYL, HL, YH, HWH), pp. 186–193.

SIGIR-2006-CarteretteP #learning #ranking

Learning a ranking from pairwise preferences (BC, DP), pp. 629–630.

SIGIR-2006-FengLWBMZM #named #order #web

AggregateRank: bringing order to web sites (GF, TYL, YW, YB, ZM, XDZ, WYM), pp. 75–82.

SIGIR-2006-FernandezVC #rank #using

Using historical data to enhance rank aggregation (MF, DV, PC), pp. 643–644.

SIGIR-2006-LiuO #effectiveness #metric #retrieval #speech

One-sided measures for evaluating ranked retrieval effectiveness with spontaneous conversational speech (BL, DWO), pp. 673–674.

SIGIR-2006-VinayCMW #effectiveness #on the #ranking

On ranking the effectiveness of searches (VV, IJC, NMF, KRW), pp. 398–404.

SAC-2006-TsvetinovUC #ranking

Dominance and ranking issues applying interval techniques in pre-negotiations for services (PET, AU, TC), pp. 887–888.

SAC-2006-WuD #ranking #web

Undue influence: eliminating the impact of link plagiarism on web search rankings (BW, BDD), pp. 1099–1104.

LICS-2006-SchroderP #bound #logic

PSPACE Bounds for Rank-1 Modal Logics (LS, DP), pp. 231–242.

LICS-2006-TerauchiA #on the #polymorphism #recursion

On Typability for Rank-2 Intersection Types with Polymorphic Recursion (TT, AA), pp. 111–122.

VMCAI-2006-BalabanCP #abstraction #ranking #recursion #source code

Ranking Abstraction of Recursive Programs (IB, AC, AP), pp. 267–281.

CBSE-2005-TansalarakC #component #ranking

Finding a Needle in the Haystack: A Technique for Ranking Matches Between Components (NT, KTC), pp. 171–186.

HT-2005-HorieYK #analysis #higher-order #rank #web

Higher-order rank analysis for web structure (IH, KY, KK), pp. 98–106.

ICDAR-2005-HuangDDGH #documentation #layout #ranking

Document Ranking by Layout Relevance (MH, DD, DSD, LG, BAH), pp. 362–366.

ICDAR-2005-KangG #ranking #recognition

A New Feature Ranking Method in a HMM-Based Handwriting Recognition System (SK, VG), pp. 779–783.

ICDAR-2005-LeeKO #documentation #image #retrieval #using

Hangul Document Image Retrieval System Using Rank-based Recognitio (DRL, WYK, ISO), pp. 615–619.

PODS-2005-CohenS #algorithm #incremental

An incremental algorithm for computing ranked full disjunctions (SC, YS), pp. 98–107.

SIGMOD-2005-ChoRA #quality #ranking #web

Page Quality: In Search of an Unbiased Web Ranking (JC, SR, RA), pp. 551–562.

SIGMOD-2005-LiCIS #algebra #named #optimisation #query #relational

RankSQL: Query Algebra and Optimization for Relational Top-k Queries (CL, KCCC, IFI, SS), pp. 131–142.

VLDB-2005-GraupmannSW #documentation #retrieval #web #xml

The SphereSearch Engine for Unified Ranked Retrieval of Heterogeneous XML and Web Documents (JG, RS, GW), pp. 529–540.

VLDB-2005-LiSCI #database #named #query #ranking #relational

RankSQL: Supporting Ranking Queries in Relational Database Management Systems (CL, MAS, KCCC, IFI), pp. 1342–1345.

VLDB-2005-PandeyROCC #random #ranking

Shuffling a Stacked Deck: The Case for Partially Randomized Ranking of Search Engine Results (SP, SR, CO, JC, SC), pp. 781–792.

STOC-2005-AilonCN #clustering #consistency #ranking

Aggregating inconsistent information: ranking and clustering (NA, MC, AN), pp. 684–693.

CIAA-2005-Shcherbak #automaton #rank

The Interval Rank of Monotonic Automata (TS), pp. 273–281.

ICALP-2005-DonatoLT #algorithm #analysis #ranking #similarity

Stability and Similarity of Link Analysis Ranking Algorithms (DD, SL, PT), pp. 717–729.

CHI-2005-Kaki #category theory #documentation #named #ranking

Findex: search result categories help users when document ranking fails (MK), pp. 131–140.

CIKM-2005-ChiritaDN #detection #named #ranking #using

MailRank: using ranking for spam detection (PAC, JD, WN), pp. 373–380.

CIKM-2005-FengAAS #query #ranking #scalability

Scalable ranking for preference queries (YF, DA, AEA, AKS), pp. 313–314.

CIKM-2005-VuG #retrieval #using

Using RankBoost to compare retrieval systems (HTV, PG), pp. 309–310.

CIKM-2005-XiongLZ #clustering #network #parallel

Supporting ranked search in parallel search cluster networks (FX, QL, DJZ), pp. 263–264.

CIKM-2005-ZhuYL #distributed #rank

Distributed PageRank computation based on iterative aggregation-disaggregation methods (YZ, SY, XL), pp. 578–585.

ECIR-2005-AminiUG #algorithm #automation #clustering #ranking #summary

Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms (MRA, NU, PG), pp. 142–156.

ICML-2005-BachJ #composition #kernel #predict #rank

Predictive low-rank decomposition for kernel methods (FRB, MIJ), pp. 33–40.

ICML-2005-BreitenbachG #clustering #ranking

Clustering through ranking on manifolds (MB, GZG), pp. 73–80.

ICML-2005-BurgesSRLDHH #learning #rank #using

Learning to rank using gradient descent (CJCB, TS, ER, AL, MD, NH, GNH), pp. 89–96.

ICML-2005-ZhangJS #naive bayes #ranking

Augmenting naive Bayes for ranking (HZ, LJ, JS), pp. 1020–1027.

KDD-2005-RadlinskiJ #feedback #learning #query #rank

Query chains: learning to rank from implicit feedback (FR, TJ), pp. 239–248.

KDD-2005-Yu #ranking #retrieval

SVM selective sampling for ranking with application to data retrieval (HY), pp. 354–363.

MLDM-2005-Bobrowski #feature model #modelling

Ranked Modelling with Feature Selection Based on the CPL Criterion Functions (LB), pp. 218–227.

SIGIR-2005-AnhM #similarity #using

Simplified similarity scoring using term ranks (VNA, AM), pp. 226–233.

SIGIR-2005-KurlandL #modelling #rank #ranking #using

PageRank without hyperlinks: structural re-ranking using links induced by language models (OK, LL), pp. 306–313.

SIGIR-2005-PerkioBT #adaptation #algorithm #ranking

A temporally adaptive content-based relevance ranking algorithm (JP, WLB, HT), pp. 647–648.

SIGIR-2005-WangST #rank

Dirichlet PageRank (XW, AS, TT), pp. 661–662.

SAC-2005-TarauMF #documentation #rank #semantics

Semantic document engineering with WordNet and PageRank (PT, RM, EF), pp. 782–786.

SAC-2005-WangPSV #ranking

Variable selection and ranking for analyzing automobile traffic accident data (HW, ASP, RKS, SVV), pp. 32–37.

SAT-J-2004-GalesiK05 #polynomial #rank #satisfiability

Polynomial Time SAT Decision, Hypergraph Transversals and the Hermitian Rank (NG, OK), pp. 89–104.

CAV-2005-BradleyMS #linear #ranking #reachability

Linear Ranking with Reachability (ARB, ZM, HBS), pp. 491–504.

TLCA-2005-Damiani #polymorphism #recursion

Rank-2 Intersection and Polymorphic Recursion (FD), pp. 146–161.

DAC-2004-GopeCJ #matrix #modelling #multi #performance #rank

A fast parasitic extractor based on low-rank multilevel matrix compression for conductor and dielectric modeling in microelectronics and MEMS (DG, SC, VJ), pp. 794–799.

PODS-2004-FaginKSMV #ranking

Comparing and Aggregating Rankings with Ties (RF, RK, MM, DS, EV), pp. 47–58.

PODS-2004-Tsaparas #ranking #using #web

Using Non-Linear Dynamical Systems for Web Searching and Ranking (PT), pp. 59–70.

SIGMOD-2004-IlyasSAVE #optimisation #query

Rank-aware Query Optimization (IFI, RS, WGA, JSV, AKE), pp. 203–214.

VLDB-2004-BalminHP #database #keyword #named

ObjectRank: Authority-Based Keyword Search in Databases (AB, VH, YP), pp. 564–575.

VLDB-2004-ChaudhuriDHW #database #probability #query #ranking

Probabilistic Ranking of Database Query Results (SC, GD, VH, GW), pp. 888–899.

VLDB-2004-GeertsMT #ranking #relational

Relational link-based ranking (FG, HM, ET), pp. 552–563.

VLDB-2004-GyongyiGP #web

Combating Web Spam with TrustRank (ZG, HGM, JOP), pp. 576–587.

VLDB-2004-HalaschekAAS #ranking #rdf #scalability #semantics

Discovering and Ranking Semantic Associations over a Large RDF Metabase (CHW, BAM, IBA, APS), pp. 1317–1320.

VLDB-2004-WangD #distributed #internet #rank

Computing PageRank in a Distributed Internet Search Engine System (YW, DJD), pp. 420–431.

TACAS-2004-FangPPZ #liveness #ranking

Liveness with Incomprehensible Ranking (YF, NP, AP, LDZ), pp. 482–496.

CIKM-2004-ChitrapuraK #graph #ranking

Node ranking in labeled directed graphs (KPC, SRK), pp. 597–606.

ICML-2004-Brinker #learning #ranking

Active learning of label ranking functions (KB).

ICML-2004-Ye #approximate #matrix #rank

Generalized low rank approximations of matrices (JY).

ICPR-v1-2004-MiasnikovH #analysis #rank

Regression Analysis and Automorphic Orbits in Free Groups of Rank 2 (ADM, RMH), pp. 180–183.

ICPR-v1-2004-WangA #composition #multi #representation #using

Compact Representation of Multidimensional Data Using Tensor Rank-One Decomposition (HW, NA), pp. 44–47.

KDD-2004-DengPML #rank

A rank sum test method for informative gene discovery (LD, JP, JM, DLL), pp. 410–419.

SIGIR-2004-Buckley #comparative #predict #ranking #retrieval #topic

Topic prediction based on comparative retrieval rankings (CB), pp. 506–507.

SIGIR-2004-FanLWXF #feedback #ranking #retrieval #robust

Tuning before feedback: combining ranking discovery and blind feedback for robust retrieval (WF, ML, LW, WX, EAF), pp. 138–145.

SIGIR-2004-LiuZC #configuration management #information retrieval #ranking #xml

Configurable indexing and ranking for XML information retrieval (SL, QZ, WWC), pp. 88–95.

SIGIR-2004-XiLB #effectiveness #learning #ranking

Learning effective ranking functions for newsgroup search (WX, JL, EB), pp. 394–401.

SIGIR-2004-XuU #analysis #mining #ranking #web

A unified model of literal mining and link analysis for ranking web resources (YX, KU), pp. 546–547.

FSE-2004-KremenekAYE #correlation #fault #ranking

Correlation exploitation in error ranking (TK, KA, JY, DRE), pp. 83–93.

SAT-2004-GalesiK #polynomial #rank #satisfiability

Polynomial Time SAT Decision, Hypergraph Transversals and the Hermitian Rank (NG, OK), pp. 76–85.

VMCAI-2004-FangPPZ #liveness #ranking

Liveness with Invisible Ranking (YF, NP, AP, LDZ), pp. 223–238.

VMCAI-2004-PodelskiR #linear #ranking #synthesis

A Complete Method for the Synthesis of Linear Ranking Functions (AP, AR), pp. 239–251.

SIGMOD-2003-FaginKS #classification #performance #rank #similarity

Efficient similarity search and classification via rank aggregation (RF, RK, DS), pp. 301–312.

SIGMOD-2003-GuoSBS #documentation #keyword #named #xml

XRANK: Ranked Keyword Search over XML Documents (LG, FS, CB, JS), pp. 16–27.

SAS-2003-KremenekE #approximate #named #static analysis #statistics #using

Z-Ranking: Using Statistical Analysis to Counter the Impact of Static Analysis Approximations (TK, DRE), pp. 295–315.

CAiSE-2003-KimC #documentation #evaluation #ranking #web

Ranking Web Documents with Dynamic Evaluation by Expert Groups (SWK, CWC), pp. 437–448.

ICEIS-v1-2003-SillittiVGPS #component #ranking

Ranking and Selecting Components to Build Systems (AS, TV, GG, PP, GS), pp. 396–400.

ICML-2003-Harrington #algorithm #collaboration #online #ranking #using

Online Ranking/Collaborative Filtering Using the Perceptron Algorithm (EFH), pp. 250–257.

ICML-2003-LingY #ranking

Decision Tree with Better Ranking (CXL, RJY), pp. 480–487.

ICML-2003-PorterEHT #classification #order #scalability #statistics

Weighted Order Statistic Classifiers with Large Rank-Order Margin (RBP, DE, DRH, JT), pp. 600–607.

ICML-2003-SrebroJ #approximate #rank

Weighted Low-Rank Approximations (NS, TSJ), pp. 720–727.

SIGIR-2003-NurayC #automation #ranking #retrieval

Automatic ranking of retrieval systems in imperfect environments (RN, FC), pp. 379–380.

SIGIR-2003-ShenZ #documentation #information retrieval #interactive #query #ranking

Exploiting query history for document ranking in interactive information retrieval (XS, CZ), pp. 377–378.

PPDP-2003-Damiani #rank

Rank 2 intersection types for modules (FD), pp. 67–78.

SAC-2003-RendaS #rank #web

Web Metasearch: Rank vs. Score Based Rank Aggregation Methods (MER, US), pp. 841–846.

SAC-2003-WuC #information retrieval #ranking

Methods for Ranking Information Retrieval Systems Without Relevance Judgments (SW, FC), pp. 811–816.

ICSE-2003-InoueYFYMK #component #rank

Component Rank: Relative Significance Rank for Software Component Search (KI, RY, HF, TY, MM, SK), pp. 14–24.

ICSE-2003-YokomoriIYMKI #component #java #program analysis #slicing

Java Program Analysis Projects in Osaka University: Aspect-Based Slicing System ADAS and Ranked-Component Search System SPARS-J (RY, TI, TY, MM, SK, KI), pp. 828–829.

SIGMOD-2002-TheobaldW #ontology #retrieval #using #xml

The XXL search engine: ranked retrieval of XML data using indexes and ontologies (AT, GW), p. 615.

VLDB-2002-IlyasAE

Joining Ranked Inputs in Practice (IFI, WGA, AKE), pp. 950–961.

ECIR-2002-KimL #algorithm #rank

An Improved Computation of the PageRank Algorithm (SJK, SHL), pp. 73–85.

ICML-2002-LebanonL #modelling #named #permutation #probability #ranking #using

Cranking: Combining Rankings Using Conditional Probability Models on Permutations (GL, JDL), pp. 363–370.

KDD-2002-JehW #named #similarity

SimRank: a measure of structural-context similarity (GJ, JW), pp. 538–543.

KDD-2002-WangS #ranking

Item selection by “hub-authority” profit ranking (KW, MYTS), pp. 652–657.

SEKE-2002-Drori #algorithm #documentation #idea #ranking #simulation

Algorithm for documents ranking: idea and simulation results (OD), pp. 99–102.

SIGIR-2002-CrammerS #algorithm #online #product line #ranking

A new family of online algorithms for category ranking (KC, YS), pp. 151–158.

SIGIR-2002-DingHHZS #analysis #framework #rank

PageRank, HITS and a unified framework for link analysis (CHQD, XH, PH, HZ, HDS), pp. 353–354.

SIGIR-2002-WhiteJR #documentation #feedback #ranking #using #web

A system using implicit feedback and top ranking sentences to help users find relevant web documents (RW, JMJ, IR), p. 446.

SIGIR-2002-WhiteRJ #documentation #evaluation #ranking #using

Finding relevant documents using top ranking sentences: an evaluation of two alternative schemes (RW, IR, JMJ), pp. 57–64.

LICS-2002-Leivant #abstraction #rank

Calibrating Computational Feasibility by Abstraction Rank (DL), p. 345–?.

VLDB-2001-NatsevCSLV #incremental #query

Supporting Incremental Join Queries on Ranked Inputs (AN, YCC, JRS, CSL, JSV), pp. 281–290.

TACAS-2001-ColonS #linear #ranking #synthesis

Synthesis of Linear Ranking Functions (MC, HS), pp. 67–81.

STOC-2001-AchlioptasM #matrix #performance #rank

Fast computation of low rank matrix (DA, FM), pp. 611–618.

SIGIR-2001-SaraivaMFMRZ #scalability

Rank-Preserving Two-Level Caching for Scalable Search Engines (PCS, ESdM, RCF, WMJ, BARN, NZ), pp. 51–58.

SIGIR-2001-SoboroffNC #ranking #retrieval

Ranking Retrieval Systems without Relevance Judgments (IS, CKN, PC), pp. 66–73.

SIGIR-2001-VoKM #effectiveness #ranking #termination

Vector-Space Ranking with Effective Early Termination (VNA, OdK, AM), pp. 35–42.

CSL-2001-Matthes #induction #rank

Monotone Inductive and Coinductive Constructors of Rank 2 (RM), pp. 600–614.

DAC-2000-LevySMW #analysis #performance

A rank-one update method for efficient processing of interconnect parasitics in timing analysis (HL, WS, DM, JW), pp. 75–78.

FoSSaCS-2000-Damiani #rank #type system

Typing Local Definitions and Conditional Expressions with Rank 2 Intersection (FD), pp. 82–97.

ICPR-v1-2000-IsgroT #matrix

A General Rank-2 Parameterization of the Fundamental Matrix (FI, ET), pp. 1868–1871.

ICPR-v2-2000-SaranliD

A Unified View of Rank-Based Decision Combination (AS, MD), pp. 2479–2482.

KR-2000-ZhuLCZ

Valuation-ranked preferential model (ZZ, BL, SC, WZ), pp. 647–653.

SIGIR-2000-DingC #adaptation #ranking #towards #web

Towards an adaptive and task-specific ranking mechanism in Web searching (C(D, CHC), pp. 375–376.

SIGIR-2000-KantrowitzMM #ranking

Stemming and its effects on TFIDF ranking (MK, BM, VOM), pp. 357–359.

SIGIR-2000-Ogawa #documentation #n-gram #performance #pseudo #ranking #retrieval

Pseudo-frequency method: an efficient document ranking retrieval method for n-gram indexing (YO), pp. 321–323.

SIGIR-2000-Ounis #image #ranking #using

Ranking digital images using combination if evidences (IO), pp. 348–350.

ICFP-1999-KfouryMTW #type system

Relating Typability and Expressiveness in Finite-Rank Intersection Type Systems (Extended Abstract) (AJK, HGM, FAT, JBW), pp. 90–101.

ICFP-1999-OhoriY #compilation #ml #morphism #polymorphism #rank #type inference

Type Inference with Rank 1 Polymorphism for Type-Directed Compilation of ML (AO, NY), pp. 160–171.

CIKM-1999-KimSC #database #image #ranking #representation

Spatial Match Representation Scheme Supporting Ranking in Iconic Images Databases (YJK, CBS, JWC), pp. 450–457.

SIGIR-1999-LosadaB #documentation #modelling #ranking #using

Using a Belief Revision Operator for Document Ranking in Extended Boolean Models (DEL, AB), pp. 66–73.

POPL-1999-KfouryW #decidability #type inference

Principality and Decidable Type Inference for Finite-Rank Intersection Types (AJK, JBW), pp. 161–174.

ICPR-1998-HjaltasonRSW #modelling #ranking #recognition #sorting #using

Using spatial sorting and ranking in model-based object recognition (GRH, MR, HS, IW), pp. 1347–1349.

ICPR-1998-SebeLH #image #metric #ranking #retrieval

Which ranking metric is optimal? With applications in image retrieval and stereo matching (NS, MSL, DPH), pp. 265–271.

ICPR-1998-SvalbeE #image #locality #metric #rank #using

Localisation of image features using measures of rank distribution (IDS, CJE), pp. 189–191.

ICPR-1998-Vinod #process #ranking #retrieval #video

Activity based video shot retrieval and ranking (VVV), pp. 682–684.

KDD-1998-Rosset #classification #comparison #evaluation #flexibility #named #performance #ranking

Ranking — Methods for Flexible Evaluation and Efficient Comparison of Classification Performance (SR), pp. 324–328.

KR-1998-Weydert #canonical #how #knowledge base #ranking

SYSTEM JZ — How to Build a Canonical Ranking Model of a Default Knowledge Base (EW), pp. 190–201.

SIGIR-1998-BorlundI #information retrieval #interactive #metric #performance

Measures of Relative Relevance and Ranked Half-Life: Performance Indicators for Interactive IR (PB, PI), pp. 324–331.

SIGIR-1998-LeouskiA #interactive #multi #visual notation

Visual Interactions with a Multidimensional Ranked List (AL, JA), pp. 353–354.

CADE-1998-HortonS #canonical #named #process #rank

Rank/Activity: A Canonical Form for Binary Resolution (JDH, BS), pp. 412–426.

VLDB-1997-GravanoG #internet

Merging Ranks from Heterogeneous Internet Sources (LG, HGM), pp. 196–205.

VLDB-1996-Ogawa #documentation #effectiveness #performance #ranking #scalability #using

Effective & Efficient Document Ranking without using a Large Lexicon (YO), pp. 192–202.

STOC-1996-AllenderBO #complexity #equation #linear #matrix #rank

The Complexity of Matrix Rank and Feasible Systems of Linear Equations (Extended Abstract) (EA, RB, MO), pp. 161–167.

LFP-1994-KfouryW #algorithm #higher-order #type inference #λ-calculus

A Direct Algorithm for Type Inference in the Rank-2 Fragment of the Second-Order λ-Calculus (AJK, JBW), pp. 196–207.

SIGIR-1994-Aalbersberg #documentation #modelling #retrieval

A Document Retrieval Model Based on Term Frequency Ranks (IJA), pp. 163–172.

SIGIR-1994-BartellCB #automation #multi #retrieval

Automatic Combination of Multiple Ranked Retrieval Systems (BTB, GWC, RKB), pp. 173–181.

SIGIR-1994-Persin #documentation #performance #ranking

Document Filtering for Fast Ranking (MP), pp. 339–348.

STOC-1993-PudlakR

Modified ranks of tensors and the size of circuits (PP, VR), pp. 523–531.

SIGIR-1993-Efthimiadis #evaluation #interactive #query #ranking

A User-Centered Evaluation of Ranking Algorithims for Interactive Query Expansion (ENE), pp. 146–159.

SIGIR-1993-OgawaBH #keyword #ranking #string #word

Simple Word Strings as Compound Keywords: An Indexing and Ranking Method for Japanese Texts (YO, AB, MH), pp. 227–236.

VLDB-1992-Antoshenkov #pseudo #random

Random Sampling from Pseudo-Ranked B+ Trees (GA), pp. 375–382.

KR-1992-GoldszmidtP #approach #reasoning

Rank-based Systems: A Simple Approach to Belief Revision, Belief Update, and Reasoning about Evidence and Actions (MG, JP), pp. 661–672.

SIGIR-1992-Keen #ranking

Term Position Ranking: Some New Test Results (EMK), pp. 66–76.

LICS-1990-KfouryT #polymorphism #re-engineering #summary #λ-calculus

Type Reconstruction in Finite-Rank Fragments of the Polymorphic λ-Calculus (Extended Summary) (AJK, JT), pp. 2–11.

ICALP-1989-Hastad #rank

Tensor Rank is NP-Complete (JH), pp. 451–460.

STOC-1986-Mulmuley #algorithm #matrix #parallel #performance #rank

A Fast Parallel Algorithm to Compute the Rank of a Matrix over an Arbitrary Field (KM), pp. 338–339.

SIGIR-1986-Harman #case study #documentation #ranking

An Experimental Study of Factors Important in Document Ranking (DH), pp. 186–193.

STOC-1985-GoldbergS #ranking

Compression and Ranking (AVG, MS), pp. 440–448.

SIGIR-1985-Radecki #clustering #ranking #retrieval

Output Ranking Methodology for Document-Clustering-Based Boolean Retrieval Systems (TR), pp. 70–76.

SIGIR-1981-Stirling #algorithm #documentation #information retrieval #on the #ranking

On the Limitations of Document Ranking Algorithms in Information Retrieval (KHS), pp. 63–65.

STOC-1980-FredericksonJ #ranking

Generalized Selection and Ranking (Preliminary Version) (GNF, DBJ), pp. 420–428.

ICALP-1980-Bini #approximate #rank

Border Rank of a p×q×2 Tensor and the Optimal Approximation of a Pair of Bilinear Forms (DB), pp. 98–108.