BibSLEIGH — ranking tag

ranking

ranking

Tag #ranking

683 papers:

CIKM-2019-NiYWLNQC #algorithm #facebook #feature model: Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm (XN, YY, PW, YL, SN, QQ, CC), pp. 2085–2088.
CIKM-2019-VergoulisCKDTD #exclamation: BIP! Finder: Facilitating Scientific Literature Search by Exploiting Impact-Based Ranking (TV, SC, IK, PD, CT, TD), pp. 2937–2940.
CIKM-2019-ZhangMLZ0MXT #learning: Context-Aware Ranking by Constructing a Virtual Environment for Reinforcement Learning (JZ, JM, YL, RZ, MZ0, SM, JX0, QT), pp. 1603–1612.
CIKM-2019-ZhangYWH #automation #e-commerce #learning #named #realtime: Autor3: Automated Real-time Ranking with Reinforcement Learning in E-commerce Sponsored Search Advertising (YZ, ZY, LW, LH), pp. 2499–2507.
ECIR-p1-2019-GuptaKKL #correlation #evaluation #information retrieval #metric #predict: Correlation, Prediction and Ranking of Evaluation Metrics in Information Retrieval (SG, MK, VK, ML), pp. 636–651.
ECIR-p1-2019-OosterhuisR #modelling #online #optimisation: Optimizing Ranking Models in an Online Setting (HO, MdR), pp. 382–396.
ICML-2019-GuY #algorithm #modelling #multi #performance: Fast Algorithm for Generalized Multinomial Models with Ranking Data (JG, GY), pp. 2445–2453.
ICML-2019-Tang #modelling: Mallows ranking models: maximum likelihood estimate and regeneration (WT), pp. 6125–6134.
ICML-2019-VorobevUGS #learning: Learning to select for a predefined ranking (AV, AU, GG, PS), pp. 6477–6486.
KDD-2019-BeutelCDQWWHZHC #recommendation: Fairness in Recommendation Ranking through Pairwise Comparisons (AB, JC, TD, HQ, LW, YW, LH, ZZ, LH, EHC, CG), pp. 2212–2220.
KDD-2019-CuiDZYZ0 #crowdsourcing: Hidden POI Ranking with Spatial Crowdsourcing (YC, LD, YZ0, BY0, VWZ, KZ0), pp. 814–824.
KDD-2019-GeyikAK #recommendation: Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (SCG, SA, KK), pp. 2221–2231.
KDD-2019-HuangLK00M0 #synthesis: Contextual Fact Ranking and Its Applications in Table Synthesis and Compression (SH, JL, FK, XW0, YW0, DM, CY0), pp. 285–293.
KDD-2019-JiangYBLWM: Ranking in Genealogy: Search Results Fusion at Ancestry (PJ, YY, GB, FAL, RW, AM), pp. 2754–2764.
KDD-2019-LiQWM #network: Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search (PL0, ZQ, XW, DM), pp. 2032–2040.
KDD-2019-PasumarthiBWLBN #library #named #scalability: TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank (RKP, SB, XW, CL0, MB, MN, JP, NG, RA, SW), pp. 2970–2978.
KDD-2019-YeS #named #online: MediaRank: Computational Ranking of Online News Sources (JY, SS), pp. 2469–2477.
SAS-2019-Ben-AmramDG #multi #set: Multiphase-Linear Ranking Functions and Their Relation to Recurrent Sets (AMBA, JJD, SG), pp. 459–480.
JCDL-2018-FafaliosKN #documentation #query #semantics: Ranking Archived Documents for Structured Queries on Semantic Layers (PF, VK, WN), pp. 155–164.
JCDL-2018-YuanGJT: Formula Ranking within an Article (KY, LG, ZJ, ZT), pp. 123–126.
JCDL-2018-ZhangW #network: Ranking Scientific Papers and Venues in Heterogeneous Academic Networks by Mutual Reinforcement (FZ, SW), pp. 127–130.
CHI-PLAY-2018-BangayM #case study: Meaningful Choice in Strategic Unit Selection: A Case Study of Unit Rankings in StarCraft II (SB, OFM), pp. 33–44.
CIKM-2018-BellKM: The Title Says It All: A Title Term Weighting Strategy For eCommerce Ranking (AB, PSK, DM), pp. 2233–2241.
CIKM-2018-ChuLXPLR0Z #e-commerce #graph #optimisation: Deep Graph Embedding for Ranking Optimization in E-commerce (CC, ZL, BX, FP, CL, RR, QL0, JZ), pp. 2007–2015.
CIKM-2018-HuL #collaboration #multi: Collaborative Multi-objective Ranking (JH, PL0), pp. 1363–1372.
CIKM-2018-KangFYXCT #multi #named #network: X-Rank: Explainable Ranking in Complex Multi-Layered Networks (JK, SF, HY, YX, NC, HT), pp. 1959–1962.
CIKM-2018-KuhlmanVDNDPRH #interactive #personalisation: Preference-driven Interactive Ranking System for Personalized Decision Support (CK, MVV, DD, MN, GD, ZP, EAR, LH), pp. 1931–1934.
CIKM-2018-LinCCT0CL #collaboration #detection: Collaborative Alert Ranking for Anomaly Detection (YL, ZC, CC, LAT, KZ0, WC, ZL), pp. 1987–1995.
CIKM-2018-ShenKBQM #clustering #email #learning #multi #query: Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering (JS, MK, MB, ZQ, DM), pp. 2127–2135.
CIKM-2018-SongYCX #collaboration: Neural Collaborative Ranking (BS, XY, YC, CX), pp. 1353–1362.
CIKM-2018-WangLGBN #framework #metric #optimisation: The LambdaLoss Framework for Ranking Metric Optimization (XW, CL0, NG, MB, MN), pp. 1313–1322.
CIKM-2018-YasserKE #case study #web: Re-ranking Web Search Results for Better Fact-Checking: A Preliminary Study (KY, MK, TE), pp. 1783–1786.
CIKM-2018-YuZYWW0C #feedback #multi: Multiple Pairwise Ranking with Implicit Feedback (RY, YZ, YY, LW, CW, QL0, EC), pp. 1727–1730.
CIKM-2018-ZamaniDCLK #learning #representation: From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing (HZ, MD0, WBC, EGLM, JK), pp. 497–506.
CIKM-2018-ZhouYWBEYZW #named #network #personalisation: PRRE: Personalized Relation Ranking Embedding for Attributed Networks (SZ, HY, XW0, JB, ME, PY, JZ, CW0), pp. 823–832.
ECIR-2018-ShahshahaniHZS #approach #towards: Towards a Unified Supervised Approach for Ranking Triples of Type-Like Relations (MSS, FH, HZ, AS), pp. 707–714.
ECIR-2018-WilkensZF #documentation #learning: Document Ranking Applied to Second Language Learning (RW, LZ, CF), pp. 618–624.
ICML-2018-AgarwalPA: Accelerated Spectral Ranking (AA, PP, SA0), pp. 70–79.
ICML-2018-FalahatgarJOPR #learning: The Limits of Maxing, Ranking, and Preference Learning (MF, AJ, AO, VP, VR), pp. 1426–1435.
ICML-2018-Mesaoudi-PaulHB #sorting: Ranking Distributions based on Noisy Sorting (AEMP, EH, RBF), pp. 3469–3477.
ICML-2018-WuHS #approach #collaboration #named: SQL-Rank: A Listwise Approach to Collaborative Ranking (LW, CJH, JS), pp. 5311–5320.
ICPR-2018-CuradoELH #named: net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking (MC, FE, MAL, ERH), pp. 1366–1371.
ICPR-2018-GuoLLL #adaptation #identification #kernel: Density-Adaptive Kernel based Re-Ranking for Person Re-Identification (RPG, CGL, YL, JL), pp. 982–987.
ICPR-2018-GuptaMSM #image #learning #order #similarity: Learning an Order Preserving Image Similarity through Deep Ranking (NG, SM, SS, SM), pp. 1115–1120.
ICPR-2018-LinLJ #named #predict: R2-ResNeXt: A ResNeXt-Based Regression Model with Relative Ranking for Facial Beauty Prediction (LL, LL, LJ), pp. 85–90.
ICPR-2018-ShengCWL #detection #image #multi: Weakly Supervised Vehicle Detection in Satellite Images via Multiple Instance Ranking (YS, LC, CW0, JL), pp. 2765–2770.
ICPR-2018-WuYSZ #identification #learning: Joint Semi-supervised Learning and Re-ranking for Vehicle Re-identification (FW, SY, JSS, BZ), pp. 278–283.
KDD-2018-AgarwalBGXYZ #online #parametricity #problem: Online Parameter Selection for Web-based Ranking Problems (DA, KB0, SG, YX, YY, LZ), pp. 23–32.
KDD-2018-GrbovicC #personalisation #realtime #using: Real-time Personalization using Embeddings for Search Ranking at Airbnb (MG, HC), pp. 311–320.
KDD-2018-LiAKMVW #evaluation #modelling #policy: Offline Evaluation of Ranking Policies with Click Models (SL, YAY, BK, SM, VV, ZW), pp. 1685–1694.
KDD-2018-MolinoZW #named #network: COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks (PM, HZ, YCW), pp. 586–595.
KDD-2018-SinghJ: Fairness of Exposure in Rankings (AS, TJ), pp. 2219–2228.
KDD-2018-TangW #learning #modelling #performance #recommendation: Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System (JT, KW), pp. 2289–2298.
POPL-2018-AgrawalC0 #approach #performance #probability #source code #termination: Lexicographic ranking supermartingales: an efficient approach to termination of probabilistic programs (SA, KC, PN0), p. 32.
EDM-2017-ZhuLW0 #automation #effectiveness #framework #generative #topic: An Effective Framework for Automatically Generating and Ranking Topics in MOOC Videos (JZ, XL, ZW, MZ0).
CIKM-2017-ChaoCYWT: Text Embedding for Sub-Entity Ranking from User Reviews (CYC, YFC, HWY, CJW, MFT), pp. 2011–2014.
CIKM-2017-DingZLTCZ #named #network #personalisation #recommendation: BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network (DD, MZ0, SYL, JT0, XC, ZHZ), pp. 1479–1488.
CIKM-2017-Gupta0M #network #personalisation: Interest Diffusion in Heterogeneous Information Network for Personalized Item Ranking (MG, PK0, RM), pp. 2087–2090.
CIKM-2017-KawasakiKS #mobile: Ranking Rich Mobile Verticals based on Clicks and Abandonment (MK, IK, TS), pp. 2127–2130.
CIKM-2017-LeiLLZ #learning #personalisation: Alternating Pointwise-Pairwise Learning for Personalized Item Ranking (YL, WL0, ZL, MZ), pp. 2155–2158.
CIKM-2017-LeL #performance #personalisation #recommendation: Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation (DDL, HWL), pp. 1389–1398.
CIKM-2017-ManotumruksaMO17a #framework #multi #personalisation #recommendation: A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation (JM, CM, IO), pp. 1469–1478.
CIKM-2017-PangLGXXC #architecture #information retrieval #named: DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval (LP, YL, JG, JX0, JX, XC), pp. 257–266.
CIKM-2017-RafailidisC #collaboration #recommendation: A Collaborative Ranking Model for Cross-Domain Recommendations (DR, FC), pp. 2263–2266.
CIKM-2017-SongRCZY: Volume Ranking and Sequential Selection in Programmatic Display Advertising (YS, KR, HC, WZ0, YY0), pp. 1099–1107.
CIKM-2017-XiongLCH #documentation #named #query: JointSem: Combining Query Entity Linking and Entity based Document Ranking (CX, ZL0, JC, EHH), pp. 2391–2394.
CIKM-2017-ZehlikeB0HMB #algorithm: FA*IR: A Fair Top-k Ranking Algorithm (MZ, FB, CC0, SH, MM, RBY), pp. 1569–1578.
ECIR-2017-RomeoMBM #approach #learning #multi: A Multiple-Instance Learning Approach to Sentence Selection for Question Ranking (SR, GDSM, ABC, AM), pp. 437–449.
ICML-2017-FahandarHC #statistics: Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening (MAF, EH, IC), pp. 1078–1087.
ICML-2017-FalahatgarOPS: Maximum Selection and Ranking under Noisy Comparisons (MF, AO, VP, ATS), pp. 1088–1096.
KDD-2017-LiuXOS #e-commerce: Cascade Ranking for Operational E-commerce Search (SL, FX, WO, LS), pp. 1557–1565.
KDD-2017-ShahSC #algorithm #constraints #online #web: Online Ranking with Constraints: A Primal-Dual Algorithm and Applications to Web Traffic-Shaping (PS, AS, TC), pp. 405–414.
KDD-2017-WuHS #collaboration #scalability: Large-scale Collaborative Ranking in Near-Linear Time (LW, CJH, JS), pp. 515–524.
CAV-2017-Ben-AmramG #multi #on the: On Multiphase-Linear Ranking Functions (AMBA, SG), pp. 601–620.
CHI-PLAY-2016-KouGK: Ranking Practices and Distinction in League of Legends (YK, XG, YMK), pp. 4–9.
CIKM-2016-FoleyOA #keyword #query: Improving Entity Ranking for Keyword Queries (JF, BO, JA), pp. 2061–2064.
CIKM-2016-HagenVGS #axiom: Axiomatic Result Re-Ranking (MH, MV, SG, BS0), pp. 721–730.
CIKM-2016-PetersenSJL #adaptation: Adaptive Distributional Extensions to DFR Ranking (CP, JGS, KJ, CL), pp. 2005–2008.
CIKM-2016-RafailidisC #collaboration #recommendation #social: Joint Collaborative Ranking with Social Relationships in Top-N Recommendation (DR, FC), pp. 1393–1402.
CIKM-2016-TkachenkoL: Plackett-Luce Regression Mixture Model for Heterogeneous Rankings (MT, HWL), pp. 237–246.
CIKM-2016-TutekGSMB #concept #detection #knowledge base #using: Detecting and Ranking Conceptual Links between Texts Using a Knowledge Base (MT, GG, JS, NMF, BDB), pp. 2077–2080.
CIKM-2016-YangAGC #named: aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model (LY0, QA, JG, WBC), pp. 287–296.
CIKM-2016-YuanGJCYZ #learning #named #using: LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates (FY, GG, JMJ, LC0, HY, WZ0), pp. 227–236.
ECIR-2016-RoySGC #documentation #query #segmentation: Improving Document Ranking for Long Queries with Nested Query Segmentation (RSR, AS, NG, MC), pp. 775–781.
ECIR-2016-Welleck #optimisation #performance: Efficient AUC Optimization for Information Ranking Applications (SJW), pp. 159–170.
ECIR-2016-YangGSMSMC #modelling: Modeling User Interests for Zero-Query Ranking (LY0, QG, YS, SM, MS, KM, WBC), pp. 171–184.
ICML-2016-MalherbeCV #approach #optimisation: A ranking approach to global optimization (CM, EC, NV), pp. 1539–1547.
ICML-2016-XuXCY #assessment #crowdsourcing #quality #statistics: False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking (QX, JX, XC, YY0), pp. 1282–1291.
ICPR-2016-VoSL #recognition: Facial expression recognition by re-ranking with global and local generic features (DMV, AS, THL), pp. 4118–4123.
KDD-2016-BrooksKG #data-driven #predict #using: Developing a Data-Driven Player Ranking in Soccer Using Predictive Model Weights (JB, MK, JVG), pp. 49–55.
KDD-2016-ChengZCJCW #analysis #correlation: Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations (WC, KZ0, HC, GJ, ZC, WW0), pp. 805–814.
KDD-2016-JainPV #multi #recommendation: Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications (HJ, YP, MV), pp. 935–944.
KDD-2016-KapurLCAP: Ranking Universities Based on Career Outcomes of Graduates (NK, NIL, BCC, DA, IP), pp. 137–144.
KDD-2016-LiAHS #how #personalisation: How to Get Them a Dream Job?: Entity-Aware Features for Personalized Job Search Ranking (JL, DA, VHT, SS), pp. 501–510.
KDD-2016-YinHTDZOCKDNLC: Ranking Relevance in Yahoo Search (DY, YH, JT, TDJ, MZ, HO, JC, CK, HD, CN, JML, YC), pp. 323–332.
SAS-2016-MauricaMP #float #linear #on the #problem: On the Linear Ranking Problem for Simple Floating-Point Loops (FM, FM, ÉP), pp. 300–316.
HT-2015-RoutB #algorithm #dataset #twitter: A Human-annotated Dataset for Evaluating Tweet Ranking Algorithms (DPR, KB), pp. 95–99.
TPDL-2015-KanellosVVGVHD #towards: MirPub v2: Towards Ranking and Refining miRNA Publication Search Results (IK, VV, TV, GG, YV, AGH, TD), pp. 355–359.
VLDB-2015-RahmanLT0D #database #privacy: Privacy Implications of Database Ranking (MFR, WL, ST, NZ, GD), pp. 1106–1117.
CHI-2015-VuillemotP #navigation: Investigating the Direct Manipulation of Ranking Tables for Time Navigation (RV, CP), pp. 2703–2706.
CIKM-2015-0002GD #information management #scalability #web: Ranking Deep Web Text Collections for Scalable Information Extraction (PB0, LG, CD), pp. 153–162.
CIKM-2015-JameelLSB #topic: A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank (SJ, WL, SS, LB), pp. 103–112.
CIKM-2015-JiangLLC #consistency #knowledge base #web: Improving Ranking Consistency for Web Search by Leveraging a Knowledge Base and Search Logs (JYJ, JL0, CYL, PJC), pp. 1441–1450.
CIKM-2015-MunozTG #approach #learning: A Soft Computing Approach for Learning to Aggregate Rankings (JAVM, RdST, MAG), pp. 83–92.
CIKM-2015-SchuhmacherDP #query #web: Ranking Entities for Web Queries Through Text and Knowledge (MS, LD, SPP), pp. 1461–1470.
CIKM-2015-TymoshenkoM #impact analysis #semantics: Assessing the Impact of Syntactic and Semantic Structures for Answer Passages Reranking (KT, AM), pp. 1451–1460.
CIKM-2015-YuM #similarity: Gauging Correct Relative Rankings For Similarity Search (WY, JAM), pp. 1791–1794.
CIKM-2015-ZhangXLGXHC #interactive #modelling #parametricity: Modeling Parameter Interactions in Ranking SVM (YZ, JX0, YL, JG, MX, YH, XC), pp. 1799–1802.
ECIR-2015-GebremeskelV #documentation: Entity-Centric Stream Filtering and Ranking: Filtering and Unfilterable Documents (GGG, APdV), pp. 303–314.
ECIR-2015-MomeniBA #adaptation #social #social media: Adaptive Faceted Ranking for Social Media Comments (EM, SB, EA), pp. 789–792.
ICML-2015-ParkNZSD #collaboration #scalability: Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons (DP, JN, JZ, SS, ISD), pp. 1907–1916.
ICML-2015-RajkumarGL0 #probability #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 #statistics: MRA-based Statistical Learning from Incomplete Rankings (ES, SC, JJ), pp. 1432–1441.
KDD-2015-FrenoSJA #modelling #recommendation: One-Pass Ranking Models for Low-Latency Product Recommendations (AF, MS, RJ, CA), pp. 1789–1798.
KDD-2015-FuLPXGZZ #modelling: Real Estate Ranking via Mixed Land-use Latent Models (YF, GL, SP, HX, YG, HZ, CZ), pp. 299–308.
MLDM-2015-KrasotkinaM #approach #optimisation: A Bayesian Approach to Sparse Learning-to-Rank for Search Engine Optimization (OK, VM), pp. 382–394.
RecSys-2015-Steck #matrix: Gaussian Ranking by Matrix Factorization (HS), pp. 115–122.
SIGIR-2015-HeBVAR #evaluation #framework #predict #quality #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 #reachability #retrieval: Reachability based Ranking in Interactive Image Retrieval (JL), pp. 867–870.
SIGIR-2015-LiCLPK #named #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: Speeding up Document Ranking with Rank-based Features (CL, FMN, SO, RP, NT), pp. 895–898.
SIGIR-2015-PetriM #cost analysis #on the: On the Cost of Phrase-Based Ranking (MP, AM), pp. 931–934.
SIGIR-2015-ReinandaMR #aspect-oriented #mining #recommendation: Mining, Ranking and Recommending Entity Aspects (RR, EM, MdR), pp. 263–272.
SIGIR-2015-ShokouhiG #query #recommendation: From Queries to Cards: Re-ranking Proactive Card Recommendations Based on Reactive Search History (MS, QG), pp. 695–704.
SIGIR-2015-TranTCN #optimisation #random #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: Local Ranking Problem on the BrowseGraph (MT, LMA, PB, RB), pp. 173–182.
SIGIR-2015-XuWW #collaboration #personalisation #recommendation #semantics: Personalized Semantic Ranking for Collaborative Recommendation (SX, SW, LW), pp. 971–974.
PLDI-2015-GonnordMR #synthesis #using: Synthesis of ranking functions using extremal counterexamples (LG, DM, GR), pp. 608–618.
SAC-2015-DominguesSBMPR #metadata #multi #personalisation #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: Complexity of Bradley-Manna-Sipma Lexicographic Ranking Functions (AMBA, SG), pp. 304–321.
DocEng-2014-WilliamsCG: Classifying and ranking search engine results as potential sources of plagiarism (KW, HHC, CLG), pp. 97–106.
VLDB-2015-FujiwaraIKO14 #image #retrieval #scalability: Scaling Manifold Ranking Based Image Retrieval (YF, GI, SK, MO), pp. 341–352.
CSMR-WCRE-2014-MondalRS #automation #mining #refactoring: Automatic ranking of clones for refactoring through mining association rules (MM, CKR, KAS), pp. 114–123.
ICPC-2014-SouzaCM #development: Ranking crowd knowledge to assist software development (LBLdS, ECC, MdAM), pp. 72–82.
ICSME-2014-XuanM #fault #learning #locality #metric #multi: Learning to Combine Multiple Ranking Metrics for Fault Localization (JX, MM), pp. 191–200.
MSR-2014-HanamTHL #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: Prediction and ranking of co-change candidates for clones (MM, CKR, KAS), pp. 32–41.
CHI-2014-PerinVF #exclamation #navigation: A table!: improving temporal navigation in soccer ranking tables (CP, RV, JDF), pp. 887–896.
CIKM-2014-BellaachiaA #multi #summary: Multi-document Hyperedge-based Ranking for Text Summarization (AB, MAD), pp. 1919–1922.
CIKM-2014-ChanDYTZ #classification #retrieval: Term Selection and Result Reranking for Question Retrieval by Exploiting Hierarchical Classification (WC, JD, WY, JT, XZ), pp. 141–150.
CIKM-2014-FangQHZ #composition #overview #sentiment #summary #using: Ranking Sentiment Explanations for Review Summarization Using Dual Decomposition (LF, QQ, MH, XZ), pp. 1931–1934.
CIKM-2014-LimsopathamMO #modelling #multi #towards: Modelling Relevance towards Multiple Inclusion Criteria when Ranking Patients (NL, CM, IO), pp. 1639–1648.
CIKM-2014-LiuYGS #feedback #graph #pseudo #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: Correct Me If I’m Wrong: Fixing Grammatical Errors by Preposition Ranking (RP, RM, MG, GD, PCM), pp. 331–340.
CIKM-2014-VouzoukidouAC #named #query #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: Concept-based Short Text Classification and Ranking (FW, ZW, ZL, JRW), pp. 1069–1078.
CIKM-2014-Wu0LJ #constraints #optimisation: Ranking Optimization with Constraints (FW, JX, HL, XJ), pp. 1049–1058.
CIKM-2014-ZhangYCQGZSH #social: Social Book Search Reranking with Generalized Content-Based Filtering (BWZ, XCY, XPC, JQ, BG, FZ, LS, HWH), pp. 361–370.
CIKM-2014-ZhaoMK #collaboration #personalisation #social: Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering (TZ, JJM, IK), pp. 261–270.
ECIR-2014-ChenWHY #modelling #personalisation #social #social media: Facet-Based User Modeling in Social Media for Personalized Ranking (CC, DW, CH, XY), pp. 443–448.
ICML-c1-2014-SoufianiPX #modelling #parametricity: Computing Parametric Ranking Models via Rank-Breaking (HAS, DCP, LX), pp. 360–368.
ICML-c2-2014-ClemenconR: Anomaly Ranking as Supervised Bipartite Ranking (SC, SR), pp. 343–351.
ICML-c2-2014-LimL #learning #metric #performance: Efficient Learning of Mahalanobis Metrics for Ranking (DL, GRGL), pp. 1980–1988.
ICPR-2014-FuKGYZ: Binary Code Reranking Method Based on Bit Importance (HF, XK, YG, XY, LZ), pp. 2679–2684.
ICPR-2014-GaurM #image: Ranking Images Based on Aesthetic Qualities (AG, KM), pp. 3410–3415.
ICPR-2014-ManzatoDMR #feedback #personalisation #recommendation #topic: Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback (MGM, MAD, RMM, SOR), pp. 3696–3701.
KDD-2014-AgarwalCGHHIKMSSZ #process: Activity ranking in LinkedIn feed (DA, BCC, RG, JH, QH, AI, SK, YM, PS, AS, LZ), pp. 1603–1612.
KDD-2014-FuXGYZZ #clustering #dependence: 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-NiTFZ #network: Inside the atoms: ranking on a network of networks (JN, HT, WF, XZ), pp. 1356–1365.
KDIR-2014-MeguebliKDP #social: Exploiting Social Debates for Opinion Ranking (YM, MK, BLD, FP), pp. 250–260.
RecSys-2014-LercheJ #feedback #personalisation #using: Using graded implicit feedback for bayesian personalized ranking (LL, DJ), pp. 353–356.
RecSys-2014-XuPA #predict #recommendation: Controlled experimentation in recommendations, ranking & response prediction (YX, RP, JA), p. 389.
SEKE-2014-GaoKN #estimation #learning #quality: Comparing Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation (KG, TMK, AN), pp. 280–285.
SIGIR-2014-ArakiC #similarity #validation: An annotation similarity model in passage ranking for historical fact validation (JA, JC), pp. 1111–1114.
SIGIR-2014-BabbarPGA #approach #classification #distributed #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: Personalized document re-ranking based on Bayesian probabilistic matrix factorization (FC, SL, MdR), pp. 835–838.
SIGIR-2014-CanCM #feedback #modelling: Incorporating query-specific feedback into learning-to-rank models (EFC, WBC, RM), pp. 1035–1038.
SIGIR-2014-ChengSHCC #named #self: IMRank: influence maximization via finding self-consistent ranking (SC, HS, JH, WC, XC), pp. 475–484.
SIGIR-2014-CostaCS #learning #modelling: Learning temporal-dependent ranking models (MC, FMC, MJS), pp. 757–766.
SIGIR-2014-QiuCYLL #learning #personalisation: Item group based pairwise preference learning for personalized ranking (SQ, JC, TY, CL, HL), pp. 1219–1222.
SIGIR-2014-TangJY #optimisation #runtime: Cache-conscious runtime optimization for ranking ensembles (XT, XJ, TY), pp. 1123–1126.
SIGIR-2014-ZhangLY #documentation: A POMDP model for content-free document re-ranking (SZ, JL, HY), pp. 1139–1142.
ASE-2014-YeXZC #retrieval: Interrogative-guided re-ranking for question-oriented software text retrieval (TY, BX, YZ, XC), pp. 115–120.
SAC-2014-KimLSKL #approach #named #web: C-Rank: a contribution-based web page ranking approach (DJK, SCL, HYS, SWK, JBL), pp. 908–912.
SAC-2014-MitranCB #automation #image: GeoTime-based tag ranking model for automatic image annotation (MM, GC, MB), pp. 896–901.
SAC-2014-RanaKS #algorithm #evaluation #social: The strength of social strength: an evaluation study of algorithmic versus user-defined ranking (JR, JK, KS), pp. 658–659.
ESOP-2014-UrbanM #abstract domain: An Abstract Domain to Infer Ordinal-Valued Ranking Functions (CU, AM), pp. 412–431.
TACAS-2014-LeikeH #linear: Ranking Templates for Linear Loops (JL, MH), pp. 172–186.
VMCAI-2014-Masse #policy #termination: Policy Iteration-Based Conditional Termination and Ranking Functions (DM), pp. 453–471.
JCDL-2013-GollapalliMG #graph #topic #using: Ranking experts using author-document-topic graphs (SDG, PM, CLG), pp. 87–96.
JCDL-2013-LimaSMSML #multi #research: Aggregating productivity indices for ranking researchers across multiple areas (HL, THPS, MMM, RLTS, WMJ, AHFL), pp. 97–106.
JCDL-2013-ShuaiJLB #case study #comparative #wiki: A comparative study of academic and Wikipedia ranking (XS, ZJ, XL, JB), pp. 25–28.
TPDL-2013-AlhooriF #predict #question #social: Can Social Reference Management Systems Predict a Ranking of Scholarly Venues? (HA, RF), pp. 138–143.
TPDL-2013-KohnckeB #library #using: Context-Sensitive Ranking Using Cross-Domain Knowledge for Chemical Digital Libraries (BK, WTB), pp. 285–296.
VLDB-2013-EftekharK #clustering #data flow: Partitioning and Ranking Tagged Data Sources (ME, NK), pp. 229–240.
OCSC-2013-Butler #game studies: The Effect of Leaderboard Ranking on Players’ Perception of Gaming Fun (CB), pp. 129–136.
CIKM-2013-LanNGC #question: Is top-k sufficient for ranking? (YL, SN, JG, XC), pp. 1261–1270.
CIKM-2013-LiuN: A phased ranking model for question answering (RL, EN), pp. 79–88.
CIKM-2013-MorishimaYTSK #dependence #performance #web: Efficient filtering and ranking schemes for finding inclusion dependencies on the web (AM, EY, MT, SS, HK), pp. 763–768.
CIKM-2013-SeverynNM #classification: Building structures from classifiers for passage reranking (AS, MN, AM), pp. 969–978.
CIKM-2013-StrotgenG #proximity #query: Proximity2-aware ranking for textual, temporal, and geographic queries (JS, MG), pp. 739–744.
CIKM-2013-XuXWW #automation #feedback #image: A heterogenous automatic feedback semi-supervised method for image reranking (XCX, XSX, YW, XW), pp. 999–1008.
CIKM-2013-ZhuXGC #detection #mobile #perspective: Ranking fraud detection for mobile apps: a holistic view (HZ, HX, YG, EC), pp. 619–628.
ECIR-2013-AsadiL #documentation #modelling #performance: Training Efficient Tree-Based Models for Document Ranking (NA, JL), pp. 146–157.
ECIR-2013-JuM #classification #incremental: Incremental Reranking for Hierarchical Text Classification (QJ, AM), pp. 726–729.
ECIR-2013-SantosCSM #image #multimodal: Multimodal Re-ranking of Product Image Search Results (JMdS, JMBC, PCS, ESdM), pp. 62–73.
ECIR-2013-ThollardQ #image: Content-Based Re-ranking of Text-Based Image Search Results (FT, GQ), pp. 618–629.
ECIR-2013-TsaiW: Risk Ranking from Financial Reports (MFT, CJW), pp. 804–807.
ECIR-2013-XiaoXE #named: OPARS: Objective Photo Aesthetics Ranking System (HX, HX, CE), pp. 861–864.
ECIR-2013-ZhukovskiiGS: URL Redirection Accounting for Improving Link-Based Ranking Methods (MZ, GG, PS), pp. 656–667.
ICML-c1-2013-OstingBO #statistics: Enhanced statistical rankings via targeted data collection (BO, CB, SO), pp. 489–497.
ICML-c2-2013-WestonMY #clustering #sublinear: Label Partitioning For Sublinear Ranking (JW, AM, HY), pp. 181–189.
ICML-c3-2013-WauthierJJ #performance: Efficient Ranking from Pairwise Comparisons (FLW, MIJ, NJ), pp. 109–117.
KDD-2013-TanXGW #learning #metric #modelling #optimisation #rank: Direct optimization of ranking measures for learning to rank models (MT, TX, LG, SW), pp. 856–864.
RecSys-2013-Hurley #personalisation: Personalised ranking with diversity (NJH), pp. 379–382.
RecSys-2013-Steck #evaluation #predict #recommendation: Evaluation of recommendations: rating-prediction and ranking (HS), pp. 213–220.
RecSys-2013-SuYCY #personalisation #recommendation: Set-oriented personalized ranking for diversified top-n recommendation (RS, LY, KC, YY), pp. 415–418.
SIGIR-2013-BalogR #classification #cumulative #recommendation: Cumulative citation recommendation: classification vs. ranking (KB, HR), pp. 941–944.
SIGIR-2013-BouadjenekHB #named #personalisation #social #web: Sopra: a new social personalized ranking function for improving web search (MRB, HH, MB), pp. 861–864.
SIGIR-2013-KimCHZDG #summary: Ranking explanatory sentences for opinion summarization (HDK, MC, MH, CZ, UD, RG), pp. 1069–1072.
SIGIR-2013-LuWTZHZ #rank #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 #semantics: Semantic models for answer re-ranking in question answering (PM), p. 1146.
SIGIR-2013-Paik #effectiveness #novel: A novel TF-IDF weighting scheme for effective ranking (JHP), pp. 343–352.
SIGIR-2013-RaiberK #clustering #documentation #markov #random #using: Ranking document clusters using markov random fields (FR, OK), pp. 333–342.
SIGIR-2013-ShokouhiWBR: Fighting search engine amnesia: reranking repeated results (MS, RWW, PNB, FR), pp. 273–282.
SIGIR-2013-WangHCSWC #adaptation #personalisation #web: Personalized ranking model adaptation for web search (HW, XH, MWC, YS, RWW, WC), pp. 323–332.
SIGIR-2013-YankovBS #mobile: Interoperability ranking for mobile applications (DY, PB, RS), pp. 857–860.
POPL-2013-Ben-AmramG #constraints #integer #linear #on the #problem: On the linear ranking problem for integer linear-constraint loops (AMBA, SG), pp. 51–62.
PPDP-2013-BagnaraM #linear: Eventual linear ranking functions (RB, FM), pp. 229–238.
SAS-2013-Urban #abstract domain: The Abstract Domain of Segmented Ranking Functions (CU), pp. 43–62.
SAC-2013-CamposFHV #personalisation #query #using #xml: XML search personalization strategies using query expansion, reranking and a search engine modification (LMdC, JMFL, JFH, EVL), pp. 872–877.
SAC-2013-ChaudhariZW #component #framework #towards: Towards a ranking framework for software components (DC, MZ, KW), pp. 495–498.
DRR-2012-SaldarriagaMV #word: Retrieving handwriting by combining word spotting and manifold ranking (SPS, EM, CVG).
JCDL-2012-DengHLK #modelling #network: Modeling and exploiting heterogeneous bibliographic networks for expertise ranking (HD, JH, MRL, IK), pp. 71–80.
JCDL-2012-Nomoto #library #personalisation: Re-ranking bibliographic records for personalized library search (TN), pp. 125–128.
JCDL-2012-OhLMY #using: Evaluating and ranking patents using weighted citations (SO, ZL, PM, JY), pp. 281–284.
TPDL-2012-NeumayerBN #distributed #repository: Ranking Distributed Knowledge Repositories (RN, KB, KN), pp. 486–491.
VLDB-2012-JestesPLT #scalability: Ranking Large Temporal Data (JJ, JMP, FL, MT), pp. 1412–1423.
WCRE-2012-AllierAHD #algorithm #framework: A Framework to Compare Alert Ranking Algorithms (SA, NA, AH, SD), pp. 277–285.
CHI-2012-NobaranyORCMM #design #interface #metric #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 #using: Multi-faceted ranking of news articles using post-read actions (DA, BCC, XW), pp. 694–703.
CIKM-2012-AsadiL #documentation #generative #performance: 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: Probabilistic ranking in fuzzy object databases (TB, TE, HPK, MR, AZ), pp. 2647–2650.
CIKM-2012-DybalaRAS #analysis #comparative #generative: 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 #towards: Towards an effective and unbiased ranking of scientific literature through mutual reinforcement (XJ, XS, HZ), pp. 714–723.
CIKM-2012-KharitonovS #web: Demographic context in web search re-ranking (EK, PS), pp. 2555–2558.
CIKM-2012-KongJYXZ: 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 #topic: Shard ranking and cutoff estimation for topically partitioned collections (AK, AST, DH, JC), pp. 555–564.
CIKM-2012-KurlandRS #clustering #predict: Query-performance prediction and cluster ranking: two sides of the same coin (OK, FR, AS), pp. 2459–2462.
CIKM-2012-LeePKL #graph #named #novel #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: Full-text citation analysis: enhancing bibliometric and scientific publication ranking (XL, JZ, CG), pp. 1975–1979.
CIKM-2012-NiuLGC #probability #problem: A new probabilistic model for top-k ranking problem (SN, YL, JG, XC), pp. 2519–2522.
CIKM-2012-WangWLL #graph #keyword #using #wiki: Exploring simultaneous keyword and key sentence extraction: improve graph-based ranking using wikipedia (XW, LW, JL, SL), pp. 2619–2622.
CIKM-2012-ZhangSZZ #transaction: Credibility-based product ranking for C2C transactions (RZ, CS, MZ, AZ), pp. 2149–2153.
CIKM-2012-ZhouLZ12a #collaboration #query: Collaborative ranking: improving the relevance for tail queries (KZ, XL, HZ), pp. 1900–1904.
ECIR-2012-GeraniZC #linear #multi: Score Transformation in Linear Combination for Multi-criteria Relevance Ranking (SG, CZ, FC), pp. 256–267.
ECIR-2012-QuattoniCT #retrieval: A Latent Variable Ranking Model for Content-Based Retrieval (AQ, XC, AT), pp. 340–351.
ICML-2012-DembczynskiKH #consistency #multi: Consistent Multilabel Ranking through Univariate Losses (KD, WK, EH), p. 175.
ICML-2012-MenonJVEO #predict: Predicting accurate probabilities with a ranking loss (AKM, XJ, SV, CE, LOM), p. 88.
ICPR-2012-GaoES #pseudo: A ranking model for face alignment with Pseudo Census Transform (HG, HKE, RS), pp. 1116–1119.
ICPR-2012-LingZP #retrieval #similarity: Tri-space and ranking based heterogeneous similarity measure for cross-media retrieval (LL, XZ, YP), pp. 230–233.
ICPR-2012-MatsudaY #multi #recognition: Multiple-food recognition considering co-occurrence employing manifold ranking (YM, KY), pp. 2017–2020.
ICPR-2012-XiaoZZ #consistency #retrieval: Spatial consistency based selective reranking for content based object retrieval (TX, CZ, HZ), pp. 417–420.
KDD-2012-JiLHCH #parallel: Parallel field ranking (MJ, BL, XH, DC, JH), pp. 723–731.
KR-2012-MorettiT #set #using: Ranking Sets of Possibly Interacting Objects Using Shapley Extensions (SM, AT).
MLDM-2012-MacchiaCM #mining #modelling #network: Mining Ranking Models from Dynamic Network Data (LM, MC, DM), pp. 566–577.
RecSys-2012-PradelUG #evaluation #metric: 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: Collaborative learning of preference rankings (TS, UP, TG), pp. 261–264.
RecSys-2012-TakacsT #personalisation: Alternating least squares for personalized ranking (GT, DT), pp. 83–90.
SIGIR-2012-ArroyueloGMOS #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: A utility-theoretic ranking method for semi-automated text classification (GB, AE, FS), pp. 961–970.
SIGIR-2012-ChangHYLC #web: Learning-based time-sensitive re-ranking for web search (PTC, YCH, CLY, SDL, PJC), pp. 1101–1102.
SIGIR-2012-KharitonovS #gender: Gender-aware re-ranking (EK, PS), pp. 1081–1082.
SIGIR-2012-LvLW #heuristic #mobile: An exploration of ranking heuristics in mobile local search (YL, DL, QW), pp. 295–304.
SIGIR-2012-MetrikovPA #performance: Impact of assessor disagreement on ranking performance (PM, VP, JAA), pp. 1091–1092.
SIGIR-2012-NiuGLC #evaluation #learning #rank: Top-k learning to rank: labeling, ranking and evaluation (SN, JG, YL, XC), pp. 751–760.
SIGIR-2012-ONeil #sentiment #using: Entity sentiment extraction using text ranking (JO), p. 1024.
SIGIR-2012-OzertemCDV #framework #machine learning #query: Learning to suggest: a machine learning framework for ranking query suggestions (UO, OC, PD, EV), pp. 25–34.
SIGIR-2012-SeverynM #learning #scalability: Structural relationships for large-scale learning of answer re-ranking (AS, AM), pp. 741–750.
SIGIR-2012-TrevisiolCAJ #behaviour #image: Image ranking based on user browsing behavior (MT, LC, LMA, AJ), pp. 445–454.
SIGIR-2012-WangBC #modelling #optimisation #robust: Robust ranking models via risk-sensitive optimization (LW, PNB, KCT), pp. 761–770.
SIGIR-2012-Whiting #problem: The essence of time: considering temporal relevance as an intent-aware ranking problem (SW), p. 1000.
SIGIR-2012-XiaoZT #image: Exploring tag relevance for image tag re-ranking (JX, WZ, QT), pp. 1069–1070.
TOOLS-EUROPE-J-2011-LavalFVD12 #performance #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: Querying and ranking news items in the hermes framework (AV, AK, FF, DV, FH), pp. 672–679.
DATE-2012-MitraBD #formal method #mining: Formal methods for ranking counterexamples through assumption mining (SM, AB, PD), pp. 911–916.
JCDL-2011-GollapalliMG #library: Ranking authors in digital libraries (SDG, PM, CLG), pp. 251–254.
SIGMOD-2011-ChenP #documentation #retrieval: Context-sensitive ranking for document retrieval (LJC, YP), pp. 757–768.
SIGMOD-2011-GuanWZSY #correlation #graph: Assessing and ranking structural correlations in graphs (ZG, JW, QZ, AKS, XY), pp. 937–948.
SIGMOD-2011-SolimanIMT #metric #nondeterminism #semantics: Ranking with uncertain scoring functions: semantics and sensitivity measures (MAS, IFI, DM, MT), pp. 805–816.
SIGMOD-2011-StoyanovichLMR #named #semantics #visualisation: SkylineSearch: semantic ranking and result visualization for pubmed (JS, ML, WM, KAR), pp. 1247–1250.
TPDL-2011-GiannopoulosDS #behaviour: Search Behavior-Driven Training for Result Re-Ranking (GG, TD, TKS), pp. 316–328.
VLDB-2011-VenetisGJH: Hyper-local, directions-based ranking of places (PV, HG, CSJ, AYH), pp. 290–301.
VLDB-2011-WangYYZP #database #nondeterminism #on the: On Pruning for Top-K Ranking in Uncertain Databases (CW, LYY, JHY, ORZ, JP), pp. 598–609.
CSMR-2011-TsantalisC #refactoring: Ranking Refactoring Suggestions Based on Historical Volatility (NT, AC), pp. 25–34.
AIIDE-2011-YuT #algorithm #generative #personalisation: Personalized Procedural Content Generation to Minimize Frustration and Boredom Based on Ranking Algorithm (HY, TT).
OCSC-2011-YongpisanpopOM #collaboration #community #web: Community Search: A Collaborative Searching Web Application with a User Ranking System (PY, MO, KiM), pp. 378–386.
CIKM-2011-AktolgaA #query: Reranking search results for sparse queries (EA, JA), pp. 173–182.
CIKM-2011-BachmannSLS #database: Extracting cross references from life science databases for search result ranking (AB, RS, ML, MS), pp. 1253–1258.
CIKM-2011-BicerTN #keyword #modelling #using: Ranking support for keyword search on structured data using relevance models (VB, TT, RN), pp. 1669–1678.
CIKM-2011-BressanP #rank: Local computation of PageRank: the ranking side (MB, LP), pp. 631–640.
CIKM-2011-CardosoM #similarity: Google, bing and a new perspective on ranking similarity (BC, JM), pp. 1933–1936.
CIKM-2011-JameelLYC: An unsupervised ranking method based on a technical difficulty terrain (SJ, WL, CmAY, SC), pp. 1989–1992.
CIKM-2011-KalyanpurPBLC #composition: Fact-based question decomposition for candidate answer re-ranking (AK, SP, BB, AL, JCC), pp. 2045–2048.
CIKM-2011-NiuLX #graph #named #using: DIGRank: using global degree to facilitate ranking in an incomplete graph (XN, LL, KX), pp. 2297–2300.
CIKM-2011-RamanJS #learning: Structured learning of two-level dynamic rankings (KR, TJ, PS), pp. 291–296.
CIKM-2011-SafadiQ #retrieval #video: Re-ranking by local re-scoring for video indexing and retrieval (BS, GQ), pp. 2081–2084.
CIKM-2011-SahayRP #social #web: Social ranking for spoken web search (SS, NR, NP), pp. 1835–1840.
CIKM-2011-SellamanickamGS #approach #learning: A pairwise ranking based approach to learning with positive and unlabeled examples (SS, PG, SKS), pp. 663–672.
CIKM-2011-StyskinRVS #set: Recency ranking by diversification of result set (AS, FR, FV, PS), pp. 1949–1952.
CIKM-2011-UysalC #approach #microblog #twitter: User oriented tweet ranking: a filtering approach to microblogs (IU, WBC), pp. 2261–2264.
CIKM-2011-WangC #information retrieval #modelling #probability #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-XuJL #image #mining #online: Retrieving and ranking unannotated images through collaboratively mining online search results (SX, HJ, FCML), pp. 485–494.
CIKM-2011-YamamotoNT #interface #named: RerankEverything: a reranking interface for exploring search results (TY, SN, KT), pp. 1913–1916.
CIKM-2011-ZhuCXCT #category theory #towards: Towards expert finding by leveraging relevant categories in authority ranking (HZ, HC, HX, EC, JT), pp. 2221–2224.
CIKM-2011-ZwolV: Object ranking (RvZ, SV), pp. 2613–2614.
ECIR-2011-AktolgaAS #using: Passage Reranking for Question Answering Using Syntactic Structures and Answer Types (EA, JA, DAS), pp. 617–628.
ECIR-2011-BelloginWC #collaboration #retrieval: Text Retrieval Methods for Item Ranking in Collaborative Filtering (AB, JW, PC), pp. 301–306.
ECIR-2011-BuffoniTG: The Importance of the Depth for Text-Image Selection Strategy in Learning-To-Rank (DB, ST, PG), pp. 743–746.
ECIR-2011-CaiGWZ #adaptation: Weight-Based Boosting Model for Cross-Domain Relevance Ranking Adaptation (PC, WG, KFW, AZ), pp. 562–567.
ECIR-2011-IofciuDCV #effectiveness #feedback #named: ReFER: Effective Relevance Feedback for Entity Ranking (TI, GD, NC, APdV), pp. 264–276.
ECIR-2011-MacdonaldO #learning #modelling: Learning Models for Ranking Aggregates (CM, IO), pp. 517–529.
ECIR-2011-SafadiQ #multi #retrieval: Re-ranking for Multimedia Indexing and Retrieval (BS, GQ), pp. 708–711.
ECIR-2011-ShiLH #collaboration #multi #self: Reranking Collaborative Filtering with Multiple Self-contained Modalities (YS, ML, AH), pp. 699–703.
ECIR-2011-SteinH: Introducing the User-over-Ranking Hypothesis (BS, MH), pp. 503–509.
ECIR-2011-ZhaoZSH #approach #metric #novel #quantum: A Novel Re-ranking Approach Inspired by Quantum Measurement (XZ, PZ, DS, YH), pp. 721–724.
ICML-2011-KotlowskiDH: Bipartite Ranking through Minimization of Univariate Loss (WK, KD, EH), pp. 1113–1120.
ICML-2011-RobbianoC #learning #plugin: Minimax Learning Rates for Bipartite Ranking and Plug-in Rules (SR, SC), pp. 441–448.
KDD-2011-DubeyCB #graph: Diversity in ranking via resistive graph centers (AD, SC, CB), pp. 78–86.
KDD-2011-GaoLWWL #graph #metadata #scalability: Semi-supervised ranking on very large graphs with rich metadata (BG, TYL, WW, TW, HL), pp. 96–104.
KDD-2011-JinLH #axiom #network #similarity: Axiomatic ranking of network role similarity (RJ, VEL, HH), pp. 922–930.
KDD-2011-TongHWKL #graph #optimisation #scalability: Diversified ranking on large graphs: an optimization viewpoint (HT, JH, ZW, RK, CYL), pp. 1028–1036.
KDD-2011-ZhouBS #approach #graph: An iterated graph laplacian approach for ranking on manifolds (XZ, MB, NS), pp. 877–885.
KDIR-2011-KuhlweinUTGH #automation #multi #reasoning: Multi-output Ranking for Automated Reasoning (DK, JU, ET, HG, TH), pp. 42–51.
RecSys-2011-LeeSKLL #graph #multi #random #recommendation: Random walk based entity ranking on graph for multidimensional recommendation (SL, SiS, MK, DL, SgL), pp. 93–100.
SIGIR-2011-AsadiMEL #learning #pseudo #web: Pseudo test collections for learning web search ranking functions (NA, DM, TE, JJL), pp. 1073–1082.
SIGIR-2011-BerberichKLZ: Improving local search ranking through external logs (KB, ACK, DL, PZ), pp. 785–794.
SIGIR-2011-CaiGZW #adaptation #education #query: Relevant knowledge helps in choosing right teacher: active query selection for ranking adaptation (PC, WG, AZ, KFW), pp. 115–124.
SIGIR-2011-CuiWLOYS #predict #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-EfronG #estimation: Estimation methods for ranking recent information (ME, GG), pp. 495–504.
SIGIR-2011-GanjisaffarCL #modelling #precise: Bagging gradient-boosted trees for high precision, low variance ranking models (YG, RC, CVL), pp. 85–94.
SIGIR-2011-KanhabuaBM #predict: Ranking related news predictions (NK, RB, MM), pp. 755–764.
SIGIR-2011-KanhabuaN11a #comparison: A comparison of time-aware ranking methods (NK, KN), pp. 1257–1258.
SIGIR-2011-KanoulasSMPA #algorithm #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: Crowdsourcing for book search evaluation: impact of hit design on comparative system ranking (GK, JK, MK, NMF), pp. 205–214.
SIGIR-2011-LiWLZS #image #multimodal #optimisation #web: Optimizing multimodal reranking for web image search (HL, MW, ZL, ZJZ, JS), pp. 1119–1120.
SIGIR-2011-SantosMO11a #metric #on the: On the suitability of diversity metrics for learning-to-rank for diversity (RLTS, CM, IO), pp. 1185–1186.
SIGIR-2011-SkoutasA: Ranking tags in resource collections (DS, MA), pp. 1207–1208.
SIGIR-2011-SongZXLL #query: Query term ranking based on search results overlap (WS, YZ, YX, TL, SL), pp. 1253–1254.
SIGIR-2011-WangLM #performance #retrieval: A cascade ranking model for efficient ranked retrieval (LW, JJL, DM), pp. 105–114.
SIGIR-2011-XuBCCHLL #image #performance #retrieval: Efficient manifold ranking for image retrieval (BX, JB, CC, DC, XH, WL, JL), pp. 525–534.
SIGIR-2011-ZhangMLM #approach #how #information retrieval: 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: The interactive PRP for diversifying document rankings (GZ, LA, CJvR), pp. 1227–1228.
TOOLS-EUROPE-2011-FalleriDLVD #performance #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: EFindBugs: Effective Error Ranking for FindBugs (HS, JF, JZ), pp. 299–308.
SAT-2011-Gelder #multi: Careful Ranking of Multiple Solvers with Timeouts and Ties (AVG), pp. 317–328.
ECDL-2010-BillerbeckDFIK #query #using #web: Ranking Entities Using Web Search Query Logs (BB, GD, CSF, TI, RK), pp. 273–281.
ECDL-2010-KanhabuaN #query: Determining Time of Queries for Re-ranking Search Results (NK, KN), pp. 261–272.
ECDL-2010-MarianLRV #graph: Citation Graph Based Ranking in Invenio (LM, JYL, MR, MV), pp. 236–247.
HT-2010-KashoobCK #social #web: Community-based ranking of the social web (SK, JC, KYK), pp. 141–150.
JCDL-2010-GouZCKG #documentation #network #social: Social network document ranking (LG, XZ, HHC, JHK, CLG), pp. 313–322.
VLDB-2010-LiD #dataset #probability: Ranking Continuous Probabilistic Datasets (JL, AD), pp. 638–649.
ICALP-v2-2010-BansalJKN #algorithm #approximate: Approximation Algorithms for Diversified Search Ranking (NB, KJ, AK, JN), pp. 273–284.
FDG-2010-BotvichMOPKK: Integrating players, reputation and ranking to manage cheating in MMOGs (DB, JM, GO, SDP, AK, MK), pp. 17–24.
CAiSE-2010-StecherCNN #integration #query: Query Ranking in Information Integration (RS, SC, CN, WN), pp. 230–235.
CIKM-2010-BronBR #analysis #component: Ranking related entities: components and analyses (MB, KB, MdR), pp. 1079–1088.
CIKM-2010-DuGZC #summary: Manifold ranking with sink points for update summarization (PD, JG, JZ, XC), pp. 1757–1760.
CIKM-2010-GordeviciusELAG #evolution: Ranking of evolving stories through meta-aggregation (JG, FJE, HCL, PA, JG), pp. 1909–1912.
CIKM-2010-HarveyRC #modelling #social #topic #using: Ranking social bookmarks using topic models (MH, IR, MJC), pp. 1401–1404.
CIKM-2010-JinW #concept: Discovering, ranking and annotating cross-document relationships between concepts (WJ, XW), pp. 1929–1930.
CIKM-2010-KameshwaranPMVD #interactive #network: Outcome aware ranking in interaction networks (SK, VP, SM, NV, KD), pp. 229–238.
CIKM-2010-KapteinSVK #using #wiki: Entity ranking using Wikipedia as a pivot (RK, PS, APdV, JK), pp. 69–78.
CIKM-2010-KotovKDC #profiling #query #web: Temporal query log profiling to improve web search ranking (AK, PK, LD, YC), pp. 1149–1158.
CIKM-2010-KouCZZ #learning: Learning to blend rankings: a monotonic transformation to blend rankings from heterogeneous domains (ZK, YC, ZZ, HZ), pp. 1921–1924.
CIKM-2010-LiBS #online #overview #predict: Affinity-driven prediction and ranking of products in online product review sites (HL, SSB, AS), pp. 1745–1748.
CIKM-2010-LiLBZ #optimisation #web: Optimizing unified loss for web ranking specialization (FL, XL, JB, ZZ), pp. 1593–1596.
CIKM-2010-LiuCXD #collaboration #personalisation: Exploiting user interests for collaborative filtering: interests expansion via personalized ranking (QL, EC, HX, CHQD), pp. 1697–1700.
CIKM-2010-LongCVYZ: Ranking with auxiliary data (BL, YC, SV, SHY, ZZ), pp. 1489–1492.
CIKM-2010-MoonDJLZ #behaviour: User behavior driven ranking without editorial judgments (TM, GD, SJ, CL, ZZ), pp. 1473–1476.
CIKM-2010-MoonLCLZC #feedback #learning #online #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: Adaptive outlierness for subspace outlier ranking (EM, MS, TS), pp. 1629–1632.
CIKM-2010-NguyenYLF #case study #experience #learning #multi #using: Experiences with using SVM-based learning for multi-objective ranking (LTN, WGY, RL, OF), pp. 1917–1920.
CIKM-2010-SayyadiEHR #challenge #personalisation #social #social media: Challenges in personalized authority flow based ranking of social media (HS, JE, VH, LR), pp. 1409–1412.
CIKM-2010-WangCWZH #modelling: Explore click models for search ranking (DW, WC, GW, YZ, BH), pp. 1417–1420.
CIKM-2010-WangML #constraints: Ranking under temporal constraints (LW, DM, JJL), pp. 79–88.
CIKM-2010-WuHL #image #retrieval: Group ranking with application to image retrieval (OW, WH, BL), pp. 1441–1444.
CIKM-2010-ZaragozaCB #question #web: Web search solved?: all result rankings the same? (HZ, BBC, RABY), pp. 529–538.
CIKM-2010-ZhaoJHSYL #modelling: 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: A late fusion approach to cross-lingual document re-ranking (DZ, SL, JM, VW), pp. 1433–1436.
ECIR-2010-AgarwalC #algorithm #information retrieval: Maximum Margin Ranking Algorithms for Information Retrieval (SA, MC), pp. 332–343.
ECIR-2010-PengMO #learning: Learning to Select a Ranking Function (JP, CM, IO), pp. 114–126.
ECIR-2010-SaldarriagaMV #information retrieval #online: Ranking Fusion Methods Applied to On-Line Handwriting Information Retrieval (SPS, EM, CVG), pp. 253–264.
ECIR-2010-YinHL #information retrieval #using #wiki: Promoting Ranking Diversity for Biomedical Information Retrieval Using Wikipedia (XY, XH, ZL), pp. 495–507.
ECIR-2010-ZucconA #documentation #probability #quantum #rank #using: Using the Quantum Probability Ranking Principle to Rank Interdependent Documents (GZ, LA), pp. 357–369.
ICML-2010-BordesUW #ambiguity #learning #semantics: Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences (AB, NU, JW), pp. 103–110.
ICML-2010-ChengDH: Label Ranking Methods based on the Plackett-Luce Model (WC, KD, EH), pp. 215–222.
ICML-2010-DuchiMJ #algorithm #consistency #on the: On the Consistency of Ranking Algorithms (JCD, LWM, MIJ), pp. 327–334.
ICML-2010-HuangG #independence #learning: Learning Hierarchical Riffle Independent Groupings from Rankings (JH, CG), pp. 455–462.
ICML-2010-SlivkinsRG #documentation #learning #scalability: Learning optimally diverse rankings over large document collections (AS, FR, SG), pp. 983–990.
ICPR-2010-ChangCH #approach #estimation #image: A Ranking Approach for Human Ages Estimation Based on Face Images (KYC, CSC, YPH), pp. 3396–3399.
ICPR-2010-DiamantiniGP: Feature Ranking Based on Decision Border (CD, AG, DP), pp. 609–612.
ICPR-2010-JinLLWG #topic: Topic-Sensitive Tag Ranking (YJ, RL, ZL, KW, XG), pp. 629–632.
ICPR-2010-LeeJJ #image #retrieval #scalability: Unsupervised Ensemble Ranking: Application to Large-Scale Image Retrieval (JEL, RJ, AKJ), pp. 3902–3906.
ICPR-2010-PiroonratanaWUALC #identification #morphism #nondeterminism #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 Model for Facial Age Estimation (PY, LZ, DNM), pp. 3404–3407.
KDD-2010-ChapelleSVWZT #learning #multi #web: Multi-task learning for boosting with application to web search ranking (OC, PKS, SV, KQW, YZ, BLT), pp. 1189–1198.
KDD-2010-Sculley: Combined regression and ranking (DS), pp. 979–988.
KDIR-2010-ZhuLC: Ranking Classes of Search Engine Results (ZZ, ML, IJC), pp. 294–301.
SIGIR-2010-BagherjeiranHR: Ranking for the conversion funnel (AB, AOH, AR), pp. 146–153.
SIGIR-2010-CaputoBS #approach #semantics: From fusion to re-ranking: a semantic approach (AC, PB, GS), pp. 815–816.
SIGIR-2010-DiazMA #online: Relevance and ranking in online dating systems (FD, DM, SAY), pp. 66–73.
SIGIR-2010-HeR #approach #automation #detection #generative: A ranking approach to target detection for automatic link generation (JH, MdR), pp. 831–832.
SIGIR-2010-KimC #documentation #multi #using: Ranking using multiple document types in desktop search (JK, WBC), pp. 50–57.
SIGIR-2010-LongCZCZT #learning #optimisation: Active learning for ranking through expected loss optimization (BL, OC, YZ, YC, ZZ, BLT), pp. 267–274.
SIGIR-2010-ParkC #dependence #parsing #query: Query term ranking based on dependency parsing of verbose queries (JHP, WBC), pp. 829–830.
SIGIR-2010-WooLLSR #retrieval #using: Achieving high accuracy retrieval using intra-document term ranking (HWW, JTL, SWL, YIS, HCR), pp. 885–886.
SIGIR-2010-XiangJPSCL #web: Context-aware ranking in web search (BX, DJ, JP, XS, EC, HL), pp. 451–458.
SIGIR-2010-ZwolPMS: Machine learned ranking of entity facets (RvZ, LGP, MM, BS), pp. 879–880.
SAS-2010-AliasDFG #bound #complexity #multi #source code #termination: Multi-dimensional Rankings, Program Termination, and Complexity Bounds of Flowchart Programs (CA, AD, PF, LG), pp. 117–133.
SAC-2010-CeciALM #approach #data mining #mining #relational: Complex objects ranking: a relational data mining approach (MC, AA, CL, DM), pp. 1071–1077.
SAC-2010-LecerfC #documentation #layout #retrieval #scalability: Scalable indexing for layout based document retrieval and ranking (LL, BC), pp. 28–32.
SAC-2010-MiyanishiSU #generative: Hypothesis generation and ranking based on event similarities (TM, KS, KU), pp. 1552–1558.
TACAS-2010-CookKRW #synthesis: Ranking Function Synthesis for Bit-Vector Relations (BC, DK, PR, CMW), pp. 236–250.
HT-2009-AbelBBHKP #folksonomy: Context-based ranking in folksonomies (FA, MB, CB, NH, DK, VP), pp. 209–218.
HT-2009-BruckschenVR #navigation #ontology #topic: Named entities for hot topics ranking and ontology navigation aid (MB, RV, SJR), pp. 373–374.
ICDAR-2009-ParakhinH #probability: Finding the Most Probable Ranking of Objects with Probabilistic Pairwise Preferences (MP, PMH), pp. 616–620.
JCDL-2009-MurataTMK #using: Query-page intention matching using clicked titles and snippets to boost search rankings (MM, HT, YM, RK), pp. 105–114.
SIGMOD-2009-LiYJ #distributed #probability: Ranking distributed probabilistic data (FL, KY, JJ), pp. 361–374.
VLDB-2009-ChaudhuriD #database #keyword #query: Keyword querying and Ranking in Databases (SC, GD), pp. 1658–1659.
VLDB-2009-LiSD #approach #database #probability: A Unified Approach to Ranking in Probabilistic Databases (JL, BS, AD), pp. 502–513.
SIGITE-2009-ChristoffersonL: Ranking scholarly outlets for information technology (LRC, BML), pp. 115–126.
ICSM-2009-YokomoriSNI #component #framework #impact analysis #using: Assessing the impact of framework changes using component ranking (RY, HPS, MN, KI), pp. 189–198.
CIKM-2009-CarteretteC #documentation #modelling #novel #probability #retrieval #topic: Probabilistic models of ranking novel documents for faceted topic retrieval (BC, PC), pp. 1287–1296.
CIKM-2009-ChangYQ #documentation: Context-sensitive document ranking (LC, JXY, LQ), pp. 1533–1536.
CIKM-2009-ChuiLKH #query #sequence: Supporting ranking pattern-based aggregate queries in sequence data cubes (CKC, EL, BK, WSH), pp. 997–1006.
CIKM-2009-ElbassuoniRSSW #query: Language-model-based ranking for queries on RDF-graphs (SE, MR, RS, MS, GW), pp. 977–986.
CIKM-2009-GengYXH #adaptation: Ranking model adaptation for domain-specific search (BG, LY, CX, XSH), pp. 197–206.
CIKM-2009-GwaderaC #mining #using: Mining and ranking streams of news stories using cross-stream sequential patterns (RG, FC), pp. 1709–1712.
CIKM-2009-HauffHJA #estimation #set #topic: Relying on topic subsets for system ranking estimation (CH, DH, FdJ, LA), pp. 1859–1862.
CIKM-2009-HsiaoC #image #retrieval: Intention-focused active reranking for image object retrieval (JHH, MSC), pp. 157–166.
CIKM-2009-KrikonKB: Utilizing inter-passage and inter-document similarities for re-ranking search results (EK, OK, MB), pp. 1597–1600.
CIKM-2009-LeeCKC #approach #dependence #query: A term dependency-based approach for query terms ranking (CJL, RCC, SHK, PJC), pp. 1267–1276.
CIKM-2009-LiLJZCD #evaluation #robust #web: Incorporating robustness into web ranking evaluation (XL, FL, SJ, ZZ, YC, AD), pp. 2007–2010.
CIKM-2009-LiuB #community: Computational community interest for ranking (XL, VvB), pp. 245–254.
CIKM-2009-LiuWC #effectiveness #retrieval #xml: Effective XML content and structure retrieval with relevance ranking (XL, CW, LC), pp. 147–156.
CIKM-2009-LiuZSNW #clustering #documentation #query: Clustering queries for better document ranking (YL, LZ, RS, JYN, JRW), pp. 1569–1572.
CIKM-2009-MacdonaldO #documentation: The influence of the document ranking in expert search (CM, IO), pp. 1983–1986.
CIKM-2009-PanCASD #feature model #using: Feature selection for ranking using boosted trees (FP, TC, DA, FS, GD), pp. 2025–2028.
CIKM-2009-SongPLZQ #keyword #modelling #topic: Topic and keyword re-ranking for LDA-based topic modeling (YS, SP, SL, MXZ, WQ), pp. 1757–1760.
CIKM-2009-WangTFCYL: Heterogeneous cross domain ranking in latent space (BW, JT, WF, SC, ZY, YL), pp. 987–996.
CIKM-2009-WangWLL #named #query #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 #summary: iRANK: an interactive ranking framework and its application in query-focused summarization (FW, WL, WW, YH), pp. 1557–1560.
CIKM-2009-YuOH #performance: Efficient feature weighting methods for ranking (HY, JO, WSH), pp. 1157–1166.
CIKM-2009-ZhuCWZWC #divide and conquer #learning #query: To divide and conquer search ranking by learning query difficulty (ZAZ, WC, TW, CZ, GW, ZC), pp. 1883–1886.
CIKM-2009-ZhuCZWWC #algorithm: A general magnitude-preserving boosting algorithm for search ranking (CZ, WC, ZAZ, GW, DW, ZC), pp. 817–826.
ECIR-2009-Ailon #algorithm #linear #query #using: A Simple Linear Ranking Algorithm Using Query Dependent Intercept Variables (NA), pp. 685–690.
ECIR-2009-DemartiniGN: A Vector Space Model for Ranking Entities and Its Application to Expert Search (GD, JG, WN), pp. 189–201.
ECIR-2009-GaoNZW #multi #web: Joint Ranking for Multilingual Web Search (WG, CN, MZ, KFW), pp. 114–125.
ECIR-2009-Wang #analysis #documentation #information retrieval: Mean-Variance Analysis: A New Document Ranking Theory in Information Retrieval (JW0), pp. 4–16.
ICML-2009-ChengHH #learning: Decision tree and instance-based learning for label ranking (WC, JCH, EH), pp. 161–168.
ICML-2009-GuiverS #modelling: Bayesian inference for Plackett-Luce ranking models (JG, ES), pp. 377–384.
ICML-2009-LanLML #algorithm #analysis: Generalization analysis of listwise learning-to-rank algorithms (YL, TYL, ZM, HL), pp. 577–584.
ICML-2009-Rueping: Ranking interesting subgroups (SR), pp. 913–920.
ICML-2009-UsunierBG #classification #order: Ranking with ordered weighted pairwise classification (NU, DB, PG), pp. 1057–1064.
ICML-2009-VolkovsZ #learning #named: BoltzRank: learning to maximize expected ranking gain (MV, RSZ), pp. 1089–1096.
KDD-2009-Delage #library #online: Regret-based online ranking for a growing digital library (ED), pp. 229–238.
KDD-2009-RendleMNS #learning #recommendation: Learning optimal ranking with tensor factorization for tag recommendation (SR, LBM, AN, LST), pp. 727–736.
KDD-2009-WangWZ #named #quality #web: PSkip: estimating relevance ranking quality from web search clickthrough data (KW, TW, ZZ), pp. 1355–1364.
RecSys-2009-HelouSSG #process #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: Collaborative prediction and ranking with non-random missing data (BMM, RSZ), pp. 5–12.
SIGIR-2009-AmbaiY #clustering #image #multi #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 #summary: Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization (MRA, NU), pp. 704–705.
SIGIR-2009-AslamKPSY #documentation #effectiveness #performance: Document selection methodologies for efficient and effective learning-to-rank (JAA, EK, VP, SS, EY), pp. 468–475.
SIGIR-2009-Carterette #correlation #distance #on the #rank: On rank correlation and the distance between rankings (BC), pp. 436–443.
SIGIR-2009-ChangDLZ #topic: Enhancing topical ranking with preferences from click-through data (YC, AD, CL, ZZ), pp. 666–667.
SIGIR-2009-GaoYLDN #web: Smoothing clickthrough data for web search ranking (JG, WY, XL, KD, JYN), pp. 355–362.
SIGIR-2009-GuanBMCW #graph #multi #personalisation #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: A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval (XH, QH), pp. 307–314.
SIGIR-2009-JiangHL #approach: A ranking approach to keyphrase extraction (XJ, YH, HL), pp. 756–757.
SIGIR-2009-JinW #named: CDPRanking: discovering and ranking cross-document paths between entities (WJ, XW), p. 844.
SIGIR-2009-JiZLZXCSZ: Global ranking by exploiting user clicks (SJ, KZ, CL, ZZ, GRX, OC, GS, HZ), pp. 35–42.
SIGIR-2009-LiLJZ #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 #topic: A probabilistic topic-based ranking framework for location-sensitive domain information retrieval (HL, ZL, WCL, DLL), pp. 331–338.
SIGIR-2009-Liu #community #using: Using computational community interest as an indicator for ranking (XL), p. 851.
SIGIR-2009-LiuMH #multi #named #visual notation: CrowdReranking: exploring multiple search engines for visual search reranking (YL, TM, XSH), pp. 500–507.
SIGIR-2009-MacdonaldO #documentation #on the: On perfect document rankings for expert search (CM, IO), pp. 740–741.
SIGIR-2009-NollYGMS #folksonomy: Telling experts from spammers: expertise ranking in folksonomies (MGN, CmAY, NG, CM, NS), pp. 612–619.
SIGIR-2009-SunQTW #learning #metric #rank #robust: Robust sparse rank learning for non-smooth ranking measures (ZS, TQ, QT, JW), pp. 259–266.
SIGIR-2009-WangTFZ #community #modelling #reasoning: Ranking community answers by modeling question-answer relationships via analogical reasoning (XJW, XT, DF, LZ), pp. 179–186.
SIGIR-2009-YangWGH #learning #query #web: Query sampling for ranking learning in web search (LY, LW, BG, XSH), pp. 754–755.
SAC-2009-AbreuMSG #fault #locality: Refining spectrum-based fault localization rankings (RA, WM, MS, AJCvG), pp. 409–414.
SAC-2009-BacharM #classification #novel: A novel distance-based classifier built on pattern ranking (DB, RM), pp. 1427–1432.
CASE-2009-FanL #effectiveness: A Bayesian Ranking Scheme for supporting cost-effective yield diagnosis services (CMF, YPL), pp. 427–432.
DAC-2009-CallegariWB #analysis: Speedpath analysis based on hypothesis pruning and ranking (NC, LCW, PB), pp. 346–351.
DAC-2009-XiongVZ #correlation #statistics: Statistical ordering of correlated timing quantities and its application for path ranking (JX, CV, VZ), pp. 122–125.
STOC-2009-AzarGY #multi: Multiple intents re-ranking (YA, IG, XY), pp. 669–678.
CAV-2009-Ben-Amram #constraints #termination: Size-Change Termination, Monotonicity Constraints and Ranking Functions (AMBA), pp. 109–123.
HT-2008-LeeBG #community #similarity #using: Extracting and ranking viral communities using seeds and content similarity (HCL, AB, LG), pp. 139–148.
SIGMOD-2008-FengFN #order: Discovering bucket orders from full rankings (JF, QF, WN), pp. 55–66.
SIGMOD-2008-HuaPZL #approach #nondeterminism #probability #query: Ranking queries on uncertain data: a probabilistic threshold approach (MH, JP, WZ, XL), pp. 673–686.
SIGMOD-2008-KasneciSIERW #named: NAGA: harvesting, searching and ranking knowledge (GK, FMS, GI, SE, MR, GW), pp. 1285–1288.
SIGMOD-2008-WuXH #named #query: ARCube: supporting ranking aggregate queries in partially materialized data cubes (TW, DX, JH), pp. 79–92.
ICEIS-ISAS2-2008-PivetaMPAGP #process #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 in folksonomy systems: can context help? (FA, NH, DK), pp. 1429–1430.
CIKM-2008-CarvalhoECC: Suppressing outliers in pairwise preference ranking (VRC, JLE, WWC, JGC), pp. 1487–1488.
CIKM-2008-ChenLWSHT #adaptation #named: Trada: tree based ranking function adaptation (KC, RL, CKW, GS, LPH, BLT), pp. 1143–1152.
CIKM-2008-ChenWSZ: Semi-supervised ranking aggregation (SC, FW, YS, CZ), pp. 1427–1428.
CIKM-2008-DouSYW #learning #question #web: Are click-through data adequate for learning web search rankings? (ZD, RS, XY, JRW), pp. 73–82.
CIKM-2008-MacdonaldO: Key blog distillation: ranking aggregates (CM, IO), pp. 1043–1052.
CIKM-2008-TodaYMK: Incorporating place name extents into geo-ir ranking (HT, NY, YM, RK), pp. 1489–1490.
CIKM-2008-WangTL #hybrid #named #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 #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 Users for Intelligent Message Addressing (VRC, WWC), pp. 321–333.
ECIR-2008-DemartiniCBN #category theory #web: Ranking Categories for Web Search (GD, PAC, IB, WN), pp. 564–569.
ECIR-2008-NaKL08a #clustering #retrieval: Structural Re-ranking with Cluster-Based Retrieval (SHN, ISK, JHL), pp. 658–662.
ECIR-2008-PehcevskiVT #locality #wiki: Exploiting Locality of Wikipedia Links in Entity Ranking (JP, AMV, JAT), pp. 258–269.
ICML-2008-BergeronZBB #multi: Multiple instance ranking (CB, JZ, CMB, KPB), pp. 48–55.
ICML-2008-OuyangG #learning: Learning dissimilarities by ranking: from SDP to QP (HO, AGG), pp. 728–735.
ICML-2008-RadlinskiKJ #learning #multi: Learning diverse rankings with multi-armed bandits (FR, RK, TJ), pp. 784–791.
ICPR-2008-XiaRH #invariant #robust #visual notation: Ranking the local invariant features for the robust visual saliencies (SX, PR, ERH), pp. 1–4.
ICPR-2008-ZhangW #clustering #order: Partial closure-based constrained clustering with order ranking (SZ, HSW), pp. 1–4.
ICPR-2008-ZitouniSOD #algorithm #graph #image #using #web: Re-ranking of web image search results using a graph algorithm (HZ, SGS, DO, PD), pp. 1–4.
KDD-2008-ChakrabartiKSB #learning: Structured learning for non-smooth ranking losses (SC, RK, US, CB), pp. 88–96.
RecSys-2008-ZanardiC #recommendation #social #using: Social ranking: uncovering relevant content using tag-based recommender systems (VZ, LC), pp. 51–58.
SIGIR-2008-AminiTG #algorithm #learning: A boosting algorithm for learning bipartite ranking functions with partially labeled data (MRA, TVT, CG), pp. 99–106.
SIGIR-2008-BenderskyK #graph #using: Re-ranking search results using document-passage graphs (MB, OK), pp. 853–854.
SIGIR-2008-GengLQALS #nearest neighbour #query #using: Query dependent ranking using K-nearest neighbor (XG, TYL, TQ, AA, HL, HYS), pp. 115–122.
SIGIR-2008-HeMO08a #using: Ranking opinionated blog posts using OpinionFinder (BH, CM, IO), pp. 727–728.
SIGIR-2008-HuH: A reranking model for genomics aspect search (QH, XH), pp. 783–784.
SIGIR-2008-Kurland #approach #clustering #documentation: The opposite of smoothing: a language model approach to ranking query-specific document clusters (OK), pp. 171–178.
SIGIR-2008-LiuLLJ #clustering #geometry #query: Spectral geometry for simultaneously clustering and ranking query search results (YL, WL, YL, LJ), pp. 539–546.
SIGIR-2008-MerhavF #multi #on the #peer-to-peer: On multiword entity ranking in peer-to-peer search (YM, OF), pp. 859–860.
SIGIR-2008-RodeSH: Combining document- and paragraph-based entity ranking (HR, PS, DH), pp. 851–852.
SAC-2008-Blomqvist #automation #ontology: Pattern ranking for semi-automatic ontology construction (EB), pp. 2248–2255.
SAC-2008-ConstantinA #distributed #xml: Usage-based ranking of distributed XML data (CC, BA), pp. 1008–1012.
SAC-2008-LeeH #quality: Ranking with tagging as quality indicators (JL, SwH), pp. 2432–2436.
SAC-2008-TanWC #categorisation #performance: An efficient feature ranking measure for text categorization (ST, YW, XC), pp. 407–413.
SAC-2008-VercoustreTP #wiki: Entity ranking in Wikipedia (AMV, JAT, JP), pp. 1101–1106.
HPDC-2008-LaforenzaNS #collaboration #workflow: Collaborative ranking of grid-enabled workflow service providers (DL, FMN, FS), pp. 227–228.
PDP-2008-Gomez-PantojaM #distributed #query: Load Balancing Distributed Inverted Files: Query Ranking (CGP, MM), pp. 329–333.
ESOP-2008-ChawdharyCGSY #abstraction: Ranking Abstractions (AC, BC, SG, MS, HY), pp. 148–162.
TACAS-2008-Ben-AmramC #approach #satisfiability #termination: A SAT-Based Approach to Size Change Termination with Global Ranking Functions (AMBA, MC), pp. 218–232.
CAV-2008-AlurKW #automaton #game studies #requirements: Ranking Automata and Games for Prioritized Requirements (RA, AK, GW), pp. 240–253.
JCDL-2007-YanL #community #database #metric #research #towards: Toward alternative measures for ranking venues: a case of database research community (SY, DL), pp. 235–244.
SIGMOD-2007-AgrawalEKV: Auditing disclosure by relevance ranking (RA, AVE, JK, RV), pp. 79–90.
SIGMOD-2007-LiWLWC #clustering: Supporting ranking and clustering as generalized order-by and group-by (CL, MW, LL, HW, KCCC), pp. 127–138.
SIGMOD-2007-XinHC #ad hoc: Progressive and selective merge: computing top-k with ad-hoc ranking functions (DX, JH, KCCC), pp. 103–114.
VLDB-2007-SchnaitterSP #estimation #optimisation #query: Depth Estimation for Ranking Query Optimization (KS, JS, NP), pp. 902–913.
CHI-2007-CuiWXTT #clustering #interactive #named: EasyAlbum: an interactive photo annotation system based on face clustering and re-ranking (JC, FW, RX, YT, XT), pp. 367–376.
OCSC-2007-SagaT #network #social: Ranking Method for Mediators in Social Network (RS, HT), pp. 151–159.
CAiSE-2007-CostacheNP #distributed #personalisation: Personalizing PageRank-Based Ranking over Distributed Collections (SC, WN, RP), pp. 111–126.
ICEIS-AIDSS-2007-RoviraASPV: 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 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 #social: Efficient search ranking in social networks (MVV, BMF, RD, PBG, DdCR, BARN), pp. 563–572.
CIKM-2007-ZaragozaRMACA #wiki: Ranking very many typed entities on wikipedia (HZ, HR, PM, JA, MC, GA), pp. 1015–1018.
ECIR-2007-GengWLZ: Fighting Link Spam with a Two-Stage Ranking Strategy (GG, CW, QL, YZ), pp. 699–702.
ECIR-2007-QuarteroniMMB #classification: Advanced Structural Representations for Question Classification and Answer Re-ranking (SQ, AM, SM, RB), pp. 234–245.
ECIR-2007-SunG #library: Popularity Weighted Ranking for Academic Digital Libraries (YS, CLG), pp. 605–612.
ECIR-2007-YuSLWM #image #using: Improve Ranking by Using Image Information (QY, SS, ZL, JRW, WYM), pp. 645–652.
ICML-2007-CortesMR #algorithm: Magnitude-preserving ranking algorithms (CC, MM, AR), pp. 169–176.
ICML-2007-XuF #learning #linear #on the: On learning linear ranking functions for beam search (YX, AF), pp. 1047–1054.
KDD-2007-BeckerA #concept #realtime #using: Real-time ranking with concept drift using expert advice (HB, MA), pp. 86–94.
KDD-2007-ParkP #collaboration: Applying collaborative filtering techniques to movie search for better ranking and browsing (STP, DMP), pp. 550–559.
KDD-2007-RadlinskiJ #learning: Active exploration for learning rankings from clickthrough data (FR, TJ), pp. 570–579.
SIGIR-2007-Abou-AssalehG: Geographic ranking for a local search engine (TAA, WG), p. 911.
SIGIR-2007-AlmeidaGCC #adaptation #approach #component #programming #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-GengLQL #feature model: Feature selection for ranking (XG, TYL, TQ, HL), pp. 407–414.
SIGIR-2007-Haubold #retrieval #video: Selection and ranking of text from highly imperfect transcripts for retrieval of video content (AH), pp. 791–792.
SIGIR-2007-JurczykA #analysis: Hits on question answer portals: exploration of link analysis for author ranking (PJ, EA), pp. 845–846.
SIGIR-2007-KoNS #probability #visual notation: A probabilistic graphical model for joint answer ranking in question answering (JK, EN, LS), pp. 343–350.
SIGIR-2007-LiaoC #query: Applying ranking SVM in query relaxation (CL, TC), pp. 763–764.
SIGIR-2007-NieDW #community: Ranking by community relevance (LN, BDD, BW), pp. 873–874.
SIGIR-2007-OBrienA: Focused ranking in a vertical search engine (PO, TAA), p. 912.
SIGIR-2007-QinZWLLL #multi: Ranking with multiple hyperplanes (TQ, XDZ, DSW, TYL, WL, HL), pp. 279–286.
SIGIR-2007-TsaiLQCM #named: FRank: a ranking method with fidelity loss (MFT, TYL, TQ, HHC, WYM), pp. 383–390.
SIGIR-2007-WuLW #probability #rank: Probability ranking principle via optimal expected rank (HCW, RWPL, KFW), pp. 713–714.
SIGIR-2007-ZhengCSZ #framework #learning #using: A regression framework for learning ranking functions using relative relevance judgments (ZZ, KC, GS, HZ), pp. 287–294.
SAC-2007-HwangY #mining: Mining and processing category ranking (SwH, HY), pp. 441–442.
SAC-2007-YouH #approach #personalisation: Personalized ranking: a contextual ranking approach (GwY, SwH), pp. 506–510.
ISSTA-2007-RenR #fault #heuristic #java #locality: Heuristic ranking of java program edits for fault localization (XR, BGR), pp. 239–249.
DocEng-2006-Ruiz-RicoGR #automation #feature model #named: NEWPAR: an automatic feature selection and weighting schema for category ranking (FRR, JLVG, MCRS), pp. 128–137.
SIGMOD-2006-AgrawalRT: Context-sensitive ranking (RA, RR, ET), pp. 383–394.
SIGMOD-2006-ChakrabartiGHX: Ranking objects based on relationships (KC, VG, JH, DX), pp. 371–382.
SIGMOD-2006-LiCI #ad hoc: Supporting ad-hoc ranking aggregates (CL, KCCC, IFI), pp. 61–72.
SIGMOD-2006-ZhangHCWLC #database #optimisation #query: Boolean + ranking: querying a database by k-constrained optimization (ZZ, SwH, KCCC, MW, CAL, YCC), pp. 359–370.
VLDB-2006-XinHCL #approach #multi #query: Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach (DX, JH, HC, XL), pp. 463–475.
ICPC-2006-PoshyvanykMRGA #identification #probability #semantics: Combining Probabilistic Ranking and Latent Semantic Indexing for Feature Identification (DP, AM, VR, YGG, GA), pp. 137–148.
ICSM-2006-TonellaAS #testing #using: Using the Case-Based Ranking Methodology for Test Case Prioritization (PT, PA, AS), pp. 123–133.
CIKM-2006-ChenZJDM #community #multi #web: Ranking web objects from multiple communities (LC, LZ, FJ, KD, WYM), pp. 377–386.
CIKM-2006-Melucci #using: Ranking in context using vector spaces (MM), pp. 866–867.
CIKM-2006-SuWHL #database #e-commerce #query #web: Query result ranking over e-commerce web databases (WS, JW, QH, FHL), pp. 575–584.
CIKM-2006-TaylorZCRB #multi #optimisation #parametricity: Optimisation methods for ranking functions with multiple parameters (MJT, HZ, NC, SR, CB), pp. 585–593.
CIKM-2006-YangJZNX #clustering #documentation #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 #robust: Ranking robustness: a novel framework to predict query performance (YZ, WBC), pp. 567–574.
CIKM-2006-ZhuangC #query #using: Re-ranking search results using query logs (ZZ, SC), pp. 860–861.
ECIR-2006-BogersB: Authoritative Re-ranking of Search Results (TB, AvdB), pp. 519–522.
ECIR-2006-BoydellS #collaboration #web: Title and Snippet Based Result Re-ranking in Collaborative Web Search (OB, BS), pp. 484–487.
ECIR-2006-VittautG #information retrieval #machine learning: Machine Learning Ranking for Structured Information Retrieval (JNV, PG), pp. 338–349.
ECIR-2006-YaoWLLM #layout #visual notation #web: Ranking Web News Via Homepage Visual Layout and Cross-Site Voting (JY, JW, ZL, ML, WYM), pp. 131–142.
ICML-2006-Agarwal #graph: Ranking on graph data (SA0), pp. 25–32.
ICML-2006-HuangLW: Ranking individuals by group comparisons (TKH, CJL, RCW), pp. 425–432.
ICML-2006-SternHG #game studies #predict: Bayesian pattern ranking for move prediction in the game of Go (DHS, RH, TG), pp. 873–880.
ICPR-v2-2006-LiLW #feature model #hybrid: A Hybrid Method of Unsupervised Feature Selection Based on Ranking (YL, BLL, ZFW), pp. 687–690.
ICPR-v3-2006-ZhuW #scalability: Scalable Representative Instance Selection and Ranking (XZ, XW), pp. 352–355.
KDD-2006-YanB #classification #optimisation: Beyond classification and ranking: constrained optimization of the ROI (LY, PB), pp. 948–953.
SEKE-2006-LiPZXS #component #retrieval: Ranking Component Retrieval Results by Leveraging User History Information (YL, YP, LZ, BX, JS), pp. 284–289.
SEKE-2006-WuHY #clustering: Salient Phrases-based Clustering and Ranking in Chinese Bulletin Board System (XW, SH, YY), pp. 73–78.
SIGIR-2006-AgichteinBD #behaviour #web: Improving web search ranking by incorporating user behavior information (EA, EB, STD), pp. 19–26.
SIGIR-2006-Baeza-YatesBC #algorithm #rank: Generalizing PageRank: damping functions for link-based ranking algorithms (RABY, PB, CC), pp. 308–315.
SIGIR-2006-CaoXLLHH #adaptation #documentation #retrieval: Adapting ranking SVM to document retrieval (YC, JX, TYL, HL, YH, HWH), pp. 186–193.
SIGIR-2006-CarteretteP #learning: Learning a ranking from pairwise preferences (BC, DP), pp. 629–630.
SIGIR-2006-VinayCMW #effectiveness #on the: On ranking the effectiveness of searches (VV, IJC, NMF, KRW), pp. 398–404.
SAC-2006-TsvetinovUC: Dominance and ranking issues applying interval techniques in pre-negotiations for services (PET, AU, TC), pp. 887–888.
SAC-2006-WuD #web: Undue influence: eliminating the impact of link plagiarism on web search rankings (BW, BDD), pp. 1099–1104.
VMCAI-2006-BalabanCP #abstraction #recursion #source code: Ranking Abstraction of Recursive Programs (IB, AC, AP), pp. 267–281.
CBSE-2005-TansalarakC #component: Finding a Needle in the Haystack: A Technique for Ranking Matches Between Components (NT, KTC), pp. 171–186.
ICDAR-2005-HuangDDGH #documentation #layout: Document Ranking by Layout Relevance (MH, DD, DSD, LG, BAH), pp. 362–366.
ICDAR-2005-KangG #recognition: A New Feature Ranking Method in a HMM-Based Handwriting Recognition System (SK, VG), pp. 779–783.
SIGMOD-2005-ChoRA #quality #web: Page Quality: In Search of an Unbiased Web Ranking (JC, SR, RA), pp. 551–562.
VLDB-2005-LiSCI #database #named #query #relational: RankSQL: Supporting Ranking Queries in Relational Database Management Systems (CL, MAS, KCCC, IFI), pp. 1342–1345.
VLDB-2005-PandeyROCC #random: Shuffling a Stacked Deck: The Case for Partially Randomized Ranking of Search Engine Results (SP, SR, CO, JC, SC), pp. 781–792.
ICALP-2005-BradleyMS #principle: The Polyranking Principle (ARB, ZM, HBS), pp. 1349–1361.
ICALP-2005-DonatoLT #algorithm #analysis #similarity: Stability and Similarity of Link Analysis Ranking Algorithms (DD, SL, PT), pp. 717–729.
CHI-2005-Kaki #category theory #documentation #named: Findex: search result categories help users when document ranking fails (MK), pp. 131–140.
CIKM-2005-ChiritaDN #detection #named #using: MailRank: using ranking for spam detection (PAC, JD, WN), pp. 373–380.
CIKM-2005-FengAAS #query #scalability: Scalable ranking for preference queries (YF, DA, AEA, AKS), pp. 313–314.
ECIR-2005-AminiUG #algorithm #automation #clustering #summary: Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms (MRA, NU, PG), pp. 142–156.
ICML-2005-BreitenbachG #clustering: Clustering through ranking on manifolds (MB, GZG), pp. 73–80.
ICML-2005-ZhangJS #naive bayes: Augmenting naive Bayes for ranking (HZ, LJ, JS), pp. 1020–1027.
KDD-2005-Yu #retrieval: SVM selective sampling for ranking with application to data retrieval (HY), pp. 354–363.
SIGIR-2005-KurlandL #modelling #rank #using: PageRank without hyperlinks: structural re-ranking using links induced by language models (OK, LL), pp. 306–313.
SIGIR-2005-PerkioBT #adaptation #algorithm: A temporally adaptive content-based relevance ranking algorithm (JP, WLB, HT), pp. 647–648.
SAC-2005-WangPSV: Variable selection and ranking for analyzing automobile traffic accident data (HW, ASP, RKS, SVV), pp. 32–37.
STOC-2005-AilonCN #clustering #consistency: Aggregating inconsistent information: ranking and clustering (NA, MC, AN), pp. 684–693.
CAV-2005-BradleyMS #linear #reachability: Linear Ranking with Reachability (ARB, ZM, HBS), pp. 491–504.
ECDL-2004-LarsonF #information retrieval #library: Spatial Ranking Methods for Geographic Information Retrieval (GIR) in Digital Libraries (RRL, PF), pp. 45–56.
PODS-2004-FaginKSMV: Comparing and Aggregating Rankings with Ties (RF, RK, MM, DS, EV), pp. 47–58.
PODS-2004-Tsaparas #using #web: Using Non-Linear Dynamical Systems for Web Searching and Ranking (PT), pp. 59–70.
VLDB-2004-ChaudhuriDHW #database #probability #query: Probabilistic Ranking of Database Query Results (SC, GD, VH, GW), pp. 888–899.
VLDB-2004-GeertsMT #relational: Relational link-based ranking (FG, HM, ET), pp. 552–563.
VLDB-2004-HalaschekAAS #rdf #scalability #semantics: Discovering and Ranking Semantic Associations over a Large RDF Metabase (CHW, BAM, IBA, APS), pp. 1317–1320.
CIKM-2004-ChitrapuraK #graph: Node ranking in labeled directed graphs (KPC, SRK), pp. 597–606.
ECIR-2004-Kamps #documentation #effectiveness #retrieval: Improving Retrieval Effectiveness by Reranking Documents Based on Controlled Vocabulary (JK), pp. 283–295.
ICML-2004-Brinker #learning: Active learning of label ranking functions (KB).
SIGIR-2004-Buckley #comparative #predict #retrieval #topic: Topic prediction based on comparative retrieval rankings (CB), pp. 506–507.
SIGIR-2004-FanLWXF #feedback #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 #xml: Configurable indexing and ranking for XML information retrieval (SL, QZ, WWC), pp. 88–95.
SIGIR-2004-XiLB #effectiveness #learning: Learning effective ranking functions for newsgroup search (WX, JL, EB), pp. 394–401.
SIGIR-2004-XuU #analysis #mining #web: A unified model of literal mining and link analysis for ranking web resources (YX, KU), pp. 546–547.
FSE-2004-KremenekAYE #correlation #fault: Correlation exploitation in error ranking (TK, KA, JY, DRE), pp. 83–93.
TACAS-2004-FangPPZ #liveness: Liveness with Incomprehensible Ranking (YF, NP, AP, LDZ), pp. 482–496.
VMCAI-2004-FangPPZ #liveness: Liveness with Invisible Ranking (YF, NP, AP, LDZ), pp. 223–238.
VMCAI-2004-PodelskiR #linear #synthesis: A Complete Method for the Synthesis of Linear Ranking Functions (AP, AR), pp. 239–251.
CAiSE-2003-KimC #documentation #evaluation #web: Ranking Web Documents with Dynamic Evaluation by Expert Groups (SWK, CWC), pp. 437–448.
ICEIS-v1-2003-SillittiVGPS #component: Ranking and Selecting Components to Build Systems (AS, TV, GG, PP, GS), pp. 396–400.
ICML-2003-Harrington #algorithm #collaboration #online #using: Online Ranking/Collaborative Filtering Using the Perceptron Algorithm (EFH), pp. 250–257.
ICML-2003-LingY: Decision Tree with Better Ranking (CXL, RJY), pp. 480–487.
SIGIR-2003-NurayC #automation #retrieval: Automatic ranking of retrieval systems in imperfect environments (RN, FC), pp. 379–380.
SIGIR-2003-ShenZ #documentation #information retrieval #interactive #query: Exploiting query history for document ranking in interactive information retrieval (XS, CZ), pp. 377–378.
SAC-2003-WuC #information retrieval: Methods for Ranking Information Retrieval Systems Without Relevance Judgments (SW, FC), pp. 811–816.
ICML-2002-LebanonL #modelling #named #permutation #probability #using: Cranking: Combining Rankings Using Conditional Probability Models on Permutations (GL, JDL), pp. 363–370.
KDD-2002-WangS: Item selection by “hub-authority” profit ranking (KW, MYTS), pp. 652–657.
SEKE-2002-Drori #algorithm #documentation #idea #simulation: Algorithm for documents ranking: idea and simulation results (OD), pp. 99–102.
SIGIR-2002-CrammerS #algorithm #online #product line: A new family of online algorithms for category ranking (KC, YS), pp. 151–158.
SIGIR-2002-WhiteJR #documentation #feedback #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 #using: Finding relevant documents using top ranking sentences: an evaluation of two alternative schemes (RW, IR, JMJ), pp. 57–64.
SIGIR-2001-SoboroffNC #retrieval: Ranking Retrieval Systems without Relevance Judgments (IS, CKN, PC), pp. 66–73.
SIGIR-2001-VoKM #effectiveness #termination: Vector-Space Ranking with Effective Early Termination (VNA, OdK, AM), pp. 35–42.
TACAS-2001-ColonS #linear #synthesis: Synthesis of Linear Ranking Functions (MC, HS), pp. 67–81.
ICML-2000-Collins #natural language #parsing: Discriminative Reranking for Natural Language Parsing (MC), pp. 175–182.
SIGIR-2000-DingC #adaptation #towards #web: Towards an adaptive and task-specific ranking mechanism in Web searching (C(D, CHC), pp. 375–376.
SIGIR-2000-KantrowitzMM: Stemming and its effects on TFIDF ranking (MK, BM, VOM), pp. 357–359.
SIGIR-2000-Ogawa #documentation #n-gram #performance #pseudo #retrieval: Pseudo-frequency method: an efficient document ranking retrieval method for n-gram indexing (YO), pp. 321–323.
SIGIR-2000-Ounis #image #using: Ranking digital images using combination if evidences (IO), pp. 348–350.
DL-1999-WechslerS #information retrieval #multi: A New Ranking Principle for Multimedia Information Retrieval (MW, PS), pp. 146–151.
CIKM-1999-KimSC #database #image #representation: Spatial Match Representation Scheme Supporting Ranking in Iconic Images Databases (YJK, CBS, JWC), pp. 450–457.
SIGIR-1999-LosadaB #documentation #modelling #using: Using a Belief Revision Operator for Document Ranking in Extended Boolean Models (DEL, AB), pp. 66–73.
ICPR-1998-HjaltasonRSW #modelling #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 #retrieval: Which ranking metric is optimal? With applications in image retrieval and stereo matching (NS, MSL, DPH), pp. 265–271.
ICPR-1998-Vinod #process #retrieval #video: Activity based video shot retrieval and ranking (VVV), pp. 682–684.
KDD-1998-Rosset #classification #comparison #evaluation #flexibility #named #performance: Ranking — Methods for Flexible Evaluation and Efficient Comparison of Classification Performance (SR), pp. 324–328.
KR-1998-Weydert #canonical #how #knowledge base: SYSTEM JZ — How to Build a Canonical Ranking Model of a Default Knowledge Base (EW), pp. 190–201.
SIGIR-1998-CarbonellG #documentation #order #summary #using: The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries (JGC, JG), pp. 335–336.
VLDB-1996-Ogawa #documentation #effectiveness #performance #scalability #using: Effective & Efficient Document Ranking without using a Large Lexicon (YO), pp. 192–202.
SIGIR-1994-Persin #documentation #performance: Document Filtering for Fast Ranking (MP), pp. 339–348.
SIGIR-1993-Efthimiadis #evaluation #interactive #query: A User-Centered Evaluation of Ranking Algorithims for Interactive Query Expansion (ENE), pp. 146–159.
SIGIR-1993-OgawaBH #keyword #string #word: Simple Word Strings as Compound Keywords: An Indexing and Ranking Method for Japanese Texts (YO, AB, MH), pp. 227–236.
SIGIR-1992-Keen: Term Position Ranking: Some New Test Results (EMK), pp. 66–76.
SIGIR-1986-Harman #case study #documentation: An Experimental Study of Factors Important in Document Ranking (DH), pp. 186–193.
SIGIR-1985-Radecki #clustering #retrieval: Output Ranking Methodology for Document-Clustering-Based Boolean Retrieval Systems (TR), pp. 70–76.
STOC-1985-GoldbergS: Compression and Ranking (AVG, MS), pp. 440–448.
SIGIR-1981-Stirling #algorithm #documentation #information retrieval #on the: On the Limitations of Document Ranking Algorithms in Information Retrieval (KHS), pp. 63–65.
STOC-1980-FredericksonJ: Generalized Selection and Ranking (GNF, DBJ), pp. 420–428.