Alfredo Cuzzocrea, James Allan, Norman W. Paton, Divesh Srivastava, Rakesh Agrawal 0001, Andrei Z. Broder, Mohammed J. Zaki, K. Selçuk Candan, Alexandros Labrinidis, Assaf Schuster, Haixun Wang
Proceedings of the 27th ACM International Conference on Information and Knowledge Management
CIKM, 2018.

@proceedings{CIKM-2018,
	editor        = "Alfredo Cuzzocrea and James Allan and Norman W. Paton and Divesh Srivastava and Rakesh Agrawal 0001 and Andrei Z. Broder and Mohammed J. Zaki and K. Selçuk Candan and Alexandros Labrinidis and Assaf Schuster and Haixun Wang",
	isbn          = "978-1-4503-6014-2",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 27th ACM International Conference on Information and Knowledge Management}",
	year          = 2018,
}

Contents (313 items)

CIKM-2018-Maarek

Alexa and Her Shopping Journey (YM), p. 1.

CIKM-2018-Rijke #interactive

Shifting Information Interactions (MdR), p. 3.

CIKM-2018-Grefenstette #education #modelling

Teaching Artificial Agents to Understand Language by Modelling Reward (EG), pp. 5–6.

CIKM-2018-SunJSPOW #multi #network #pointer #summary

Multi-Source Pointer Network for Product Title Summarization (FS, PJ, HS, CP, WO, XW), pp. 7–16.

CIKM-2018-XuWCWM #category theory #detection #set

Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data (HX, YW, LC, YW, XM), pp. 17–26.

CIKM-2018-BaiCLKX #analysis #modelling #relational #topic

Neural Relational Topic Models for Scientific Article Analysis (HB, ZC, MRL, IK, ZX), pp. 27–36.

CIKM-2018-JiangGYGTL #comprehension #evolution

Mathematics Content Understanding for Cyberlearning via Formula Evolution Map (ZJ, LG, KY, ZG, ZT, XL), pp. 37–46.

CIKM-2018-TzouramanisTPM #query

The Range Skyline Query (TT, ET, ANP, YM), pp. 47–56.

CIKM-2018-CiacciaM #flexibility

FA + TA PC, DM), pp. 57–66.

CIKM-2018-YangS #learning #multi #named #performance

FALCON: A Fast Drop-In Replacement of Citation KNN for Multiple Instance Learning (SY, XS), pp. 67–76.

CIKM-2018-ZhangWLL #retrieval

Secure Top-k Inner Product Retrieval (ZZ, KW0, CL, WL), pp. 77–86.

CIKM-2018-WuZA #classification #graph #learning

A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification (XW, LZ, LA), pp. 87–96.

CIKM-2018-SongZWTZJC #graph #learning #named #rank

TGNet: Learning to Rank Nodes in Temporal Graphs (QS, BZ, YW, LAT, HZ, GJ, HC), pp. 97–106.

CIKM-2018-GalimbertiBBCG #mining #network

Mining (maximal) Span-cores from Temporal Networks (EG, AB, FB, CC, FG), pp. 107–116.

CIKM-2018-HeimannSSK #graph #named #representation

REGAL: Representation Learning-based Graph Alignment (MH, HS, TS, DK), pp. 117–126.

CIKM-2018-Shi0LM #adaptation #recommendation

Attention-based Adaptive Model to Unify Warm and Cold Starts Recommendation (SS, MZ0, YL, SM), pp. 127–136.

CIKM-2018-ChaeKKL #collaboration #framework #generative #named #network

CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks (DKC, JSK, SWK, JTL), pp. 137–146.

CIKM-2018-ChinZJC #named #recommendation

ANR: Aspect-based Neural Recommender (JYC, KZ0, SRJ, GC), pp. 147–156.

CIKM-2018-MeiRCNMN #interactive #network #recommendation

An Attentive Interaction Network for Context-aware Recommendations (LM, PR, ZC, LN, JM0, JYN), pp. 157–166.

CIKM-2018-MoraesPH #learning #process

Contrasting Search as a Learning Activity with Instructor-designed Learning (FM, SRP, CH), pp. 167–176.

CIKM-2018-ZhangCA0C #recommendation #towards

Towards Conversational Search and Recommendation: System Ask, User Respond (YZ, XC, QA, LY0, WBC), pp. 177–186.

CIKM-2018-ZhangAGSCG #effectiveness #interactive #less is more #retrieval

Effective User Interaction for High-Recall Retrieval: Less is More (HZ0, MA, NG, MDS, GVC, MRG), pp. 187–196.

CIKM-2018-JiangW #named #network #query

RIN: Reformulation Inference Network for Context-Aware Query Suggestion (JYJ, WW0), pp. 197–206.

CIKM-2018-ShaabaniM #dependence #detection #performance

Improving the Efficiency of Inclusion Dependency Detection (NS, CM), pp. 207–216.

CIKM-2018-KimLFL #comprehension #web

Web Table Understanding by Collective Inference (SK, GL0, JF, KL), pp. 217–226.

CIKM-2018-GiannakopoulosT #approach #modelling

A Content-Based Approach for Modeling Analytics Operators (IG, DT, NK), pp. 227–236.

CIKM-2018-LuoWHYZ #learning #segmentation #semantics

Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning (YL, ZW, ZH, YY0, CZ), pp. 237–246.

CIKM-2018-GuanJWC #graph #network

Shared Embedding Based Neural Networks for Knowledge Graph Completion (SG, XJ, YW, XC), pp. 247–256.

CIKM-2018-OhSL #graph #learning #multi

Knowledge Graph Completion by Context-Aware Convolutional Learning with Multi-Hop Neighborhoods (BO, SS, KHL), pp. 257–266.

CIKM-2018-Zhang0T #detection

Smooth q-Gram, and Its Applications to Detection of Overlaps among Long, Error-Prone Sequencing Reads (HZ, QZ0, HT), pp. 267–276.

CIKM-2018-WangSZWL #detection #multi

Multi-View Group Anomaly Detection (HW, PS, MZ, HW, GL), pp. 277–286.

CIKM-2018-KuoLK #correlation #detection #metric

Detecting Outliers in Data with Correlated Measures (YHK, ZL, DK), pp. 287–296.

CIKM-2018-KrishnanSS #behaviour #learning #online

Insights from the Long-Tail: Learning Latent Representations of Online User Behavior in the Presence of Skew and Sparsity (AK, AS, HS), pp. 297–306.

CIKM-2018-NimishakaviMGT #framework #induction #multi #streaming

Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information (MN, BM, MG, PPT), pp. 307–316.

CIKM-2018-MedinaVY #learning #online #testing

Online Learning for Non-Stationary A/B Tests (AMM, SV, DY), pp. 317–326.

CIKM-2018-0001CWCLJSZ #named #network #social

MEgo2Vec: Embedding Matched Ego Networks for User Alignment Across Social Networks (JZ0, BC, XW, HC0, CL, FJ, GS, YZ), pp. 327–336.

CIKM-2018-KimLCCK #comprehension #learning #scheduling

Learning User Preferences and Understanding Calendar Contexts for Event Scheduling (DK, JL, DC, JC, JK), pp. 337–346.

CIKM-2018-GeDJNW #personalisation #using

Personalizing Search Results Using Hierarchical RNN with Query-aware Attention (SG, ZD, ZJ, JYN, JRW), pp. 347–356.

CIKM-2018-Yu0LYL #adaptation #identification #network #recommendation #social

Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation (JY, MG0, JL, HY, HL0), pp. 357–366.

CIKM-2018-TsakalidisACL #social #social media

Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum (AT, NA, AIC, ML), pp. 367–376.

CIKM-2018-AdigaCKMRRS #modelling #network #probability #query #using

Inferring Probabilistic Contagion Models Over Networks Using Active Queries (AA, VCM, CJK, MVM, SSR, DJR, RES), pp. 377–386.

CIKM-2018-GupchupHDSCJE

Trustworthy Experimentation Under Telemetry Loss (JG, YH, PAD, DS, RC, AJ, ME), pp. 387–396.

CIKM-2018-KutluEHL #correlation #metric #order #rank #statistics

When Rank Order Isn't Enough: New Statistical-Significance-Aware Correlation Measures (MK, TE, MH, ML), pp. 397–406.

CIKM-2018-Voorhees #on the #reuse #using

On Building Fair and Reusable Test Collections using Bandit Techniques (EMV), pp. 407–416.

CIKM-2018-WangZWZLXG #graph #named #recommendation

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems (HW, FZ, JW, MZ, WL, XX, MG), pp. 417–426.

CIKM-2018-ChenL #evolution #predict

Exploiting Structural and Temporal Evolution in Dynamic Link Prediction (HC, JL0), pp. 427–436.

CIKM-2018-HusseinYC #graph

Are Meta-Paths Necessary?: Revisiting Heterogeneous Graph Embeddings (RH, DY, PCM), pp. 437–446.

CIKM-2018-LiWYZZLL #distance

Distribution Distance Minimization for Unsupervised User Identity Linkage (CL, SW, PSY, LZ, XZ0, ZL, YL), pp. 447–456.

CIKM-2018-ChenLXX #fine-grained #topic

Short Text Entity Linking with Fine-grained Topics (LC, JL, CX, YX), pp. 457–466.

CIKM-2018-PrasojoKN #fine-grained #information management #named #semantics #using

StuffIE: Semantic Tagging of Unlabeled Facets Using Fine-Grained Information Extraction (REP, MK, WN), pp. 467–476.

CIKM-2018-NagarkarC #execution #named #performance #query #set

PSLSH: An Index Structure for Efficient Execution of Set Queries in High-Dimensional Spaces (PN, KSC), pp. 477–486.

CIKM-2018-0002B #framework #named

GYANI: An Indexing Infrastructure for Knowledge-Centric Tasks (DG0, KB), pp. 487–496.

CIKM-2018-ZamaniDCLK #learning #ranking #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-HooiAEPJPF #detection #graph #locality #named #online

ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph (BH, LA, DE, AP, MJ, LTP, CF), pp. 507–516.

CIKM-2018-WuYZGWC #predict #process

Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction (QW, CY, HZ, XG, PW, GC), pp. 517–526.

CIKM-2018-MelidisSN #learning

Learning under Feature Drifts in Textual Streams (DPM, MS, EN), pp. 527–536.

CIKM-2018-SahaSGD #information management #modelling #named #process

CRPP: Competing Recurrent Point Process for Modeling Visibility Dynamics in Information Diffusion (AS, BS, NG, AD), pp. 537–546.

CIKM-2018-MiyauchiK

Finding a Dense Subgraph with Sparse Cut (AM0, NK), pp. 547–556.

CIKM-2018-DerrAT #modelling #network

Signed Network Modeling Based on Structural Balance Theory (TD, CCA, JT), pp. 557–566.

CIKM-2018-SarkarB0 #network #on the

On Rich Clubs of Path-Based Centralities in Networks (SS, SB, AM0), pp. 567–576.

CIKM-2018-LiGC #named #network

VTeller: Telling the Values Somewhere, Sometime in a Dynamic Network of Urban Systems (YL, TG, CXC), pp. 577–586.

CIKM-2018-0001RHZGHJL0 #corpus #profiling

Open-Schema Event Profiling for Massive News Corpora (QY0, XR, WH, CZ0, XG, LH, HJ, CYL, JH0), pp. 587–596.

CIKM-2018-ShuaiLYLLY #behaviour #network #social

Newsfeed Filtering and Dissemination for Behavioral Therapy on Social Network Addictions (HHS, YCL, DNY, YFL, WCL, PSY), pp. 597–606.

CIKM-2018-DedieuMZV #modelling #predict #streaming

Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming (AD, RM, ZZ, HV), pp. 607–616.

CIKM-2018-ZhangGFLXCC #generative

Question Headline Generation for News Articles (RZ, JG, YF, YL, JX0, HC, XC), pp. 617–626.

CIKM-2018-ZhangLMT #estimation #multi

Relevance Estimation with Multiple Information Sources on Search Engine Result Pages (JZ, YL, SM, QT), pp. 627–636.

CIKM-2018-SantuLCZ #behaviour #modelling #named

JIM: Joint Influence Modeling for Collective Search Behavior (SKKS, LL, YC, CZ), pp. 637–646.

CIKM-2018-NishidaSOAT #comprehension #information retrieval #learning #multi #named

Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension (KN, IS, AO, HA, JT), pp. 647–656.

CIKM-2018-LoyolaGS #debugging #learning #locality #rank

Bug Localization by Learning to Rank and Represent Bug Inducing Changes (PL, KG, FS), pp. 657–665.

CIKM-2018-HuZY #collaboration #named #network #recommendation

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation (GH, YZ, QY), pp. 667–676.

CIKM-2018-WuQLJ #named #what

PARL: Let Strangers Speak Out What You Like (LW, CQ, CL, DJ), pp. 677–686.

CIKM-2018-TranLL0 #matrix #recommendation

Regularizing Matrix Factorization with User and Item Embeddings for Recommendation (TT, KL, YL, DL0), pp. 687–696.

CIKM-2018-MaZWL #recommendation #self

Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence (CM, YZ, QW, XL), pp. 697–706.

CIKM-2018-Soboroff #multi #retrieval

Meta-Analysis for Retrieval Experiments Involving Multiple Test Collections (IS), pp. 713–722.

CIKM-2018-DamessieCKS

Presentation Ordering Effects On Assessor Agreement (TTD, JSC, JK, FS), pp. 723–732.

CIKM-2018-LiLMHZM #comprehension

Understanding Reading Attention Distribution during Relevance Judgement (XL, YL, JM, ZH, MZ0, SM), pp. 733–742.

CIKM-2018-MaYXCZG #knowledge-based #named #predict

KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare (FM, QY, HX, RC, JZ, JG0), pp. 743–752.

CIKM-2018-GaurKASDTP #classification #exclamation #health #quote

“Let Me Tell You About Your Mental Health!”: Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention (MG, UK, AA, APS, RD, KT, JP), pp. 753–762.

CIKM-2018-HosseiniCWSS #named #network

HeteroMed: Heterogeneous Information Network for Medical Diagnosis (AH, TC0, WW, YS, MS), pp. 763–772.

CIKM-2018-ChenQLS #network #quote

“Bridge”: Enhanced Signed Directed Network Embedding (YC, TQ, HL, KS), pp. 773–782.

CIKM-2018-Xu0AWR #consistency #feature model #multi

Semi-Supervised Multi-Label Feature Selection by Preserving Feature-Label Space Consistency (YX, JW0, SA, JW, JR), pp. 783–792.

CIKM-2018-AfsharPPSHS #dataset #named #scalability

COPA: Constrained PARAFAC2 for Sparse & Large Datasets (AA, IP, EEP, ES, JCH, JS), pp. 793–802.

CIKM-2018-Backes #ambiguity

The Impact of Name-Matching and Blocking on Author Disambiguation (TB), pp. 803–812.

CIKM-2018-ShenYZPZ #parallel #using

Parallel Hashing Using Representative Points in Hyperoctants (CS, MY, CZ, YP, GZ), pp. 813–822.

CIKM-2018-ZhouYWBEYZW #named #network #personalisation #ranking

PRRE: Personalized Relation Ranking Embedding for Attributed Networks (SZ, HY, XW0, JB, ME, PY, JZ, CW0), pp. 823–832.

CIKM-2018-ChenLZY #predict #rating

Heterogeneous Neural Attentive Factorization Machine for Rating Prediction (LC0, YL, ZZ, PSY), pp. 833–842.

CIKM-2018-HidasiK #network #recommendation

Recurrent Neural Networks with Top-k Gains for Session-based Recommendations (BH, AK), pp. 843–852.

CIKM-2018-0013H #consistency #interactive #learning #modelling #multi

Interactions Modeling in Multi-Task Multi-View Learning with Consistent Task Diversity (XL0, JH), pp. 853–861.

CIKM-2018-Kieu0GJ #using

Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories (TK, BY0, CG, CSJ), pp. 863–872.

CIKM-2018-CaiBWSSW #behaviour #interactive #modelling #online #process

Modeling Sequential Online Interactive Behaviors with Temporal Point Process (RC, XB, ZW, YS, PS, HW), pp. 873–882.

CIKM-2018-WuWKY #knowledge base #towards

Towards Practical Open Knowledge Base Canonicalization (THW, ZW, BK, PY), pp. 883–892.

CIKM-2018-ViegasLGKCMSRG #modelling #semantics #topic

Semantically-Enhanced Topic Modeling (FV, WL, CG, AK, SDC, FM, TS, LCdR, MAG), pp. 893–902.

CIKM-2018-XuLHLXYW #corpus #multi #named #type system

METIC: Multi-Instance Entity Typing from Corpus (BX, ZL, LH, BL, YX, DY, WW0), pp. 903–912.

CIKM-2018-DingTZ #generative #graph #learning

Semi-supervised Learning on Graphs with Generative Adversarial Nets (MD, JT, JZ), pp. 913–922.

CIKM-2018-AslayNMG #evolution #graph #mining

Mining Frequent Patterns in Evolving Graphs (ÇA, MAUN, GDFM, AG), pp. 923–932.

CIKM-2018-ZhangLNLX #graph #multi #network

Multiresolution Graph Attention Networks for Relevance Matching (TZ, BL, DN, KL, YX), pp. 933–942.

CIKM-2018-GuoCZGL #detection #network #social

Rumor Detection with Hierarchical Social Attention Network (HG, JC, YZ, JG, JL), pp. 943–951.

CIKM-2018-ChenFEZC0 #modelling #recommendation #social

Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation (JC, YF, ME, SZ, CC0, CW0), pp. 953–962.

CIKM-2018-YamamotoYF #behaviour #people #towards #web

Exploring People's Attitudes and Behaviors Toward Careful Information Seeking in Web Search (TY, YY, SF), pp. 963–972.

CIKM-2018-LiLCOL #approach #classification #documentation #modelling #topic

Dataless Text Classification: A Topic Modeling Approach with Document Manifold (XL, CL, JC, JO, CL), pp. 973–982.

CIKM-2018-MengSZ0 #classification

Weakly-Supervised Neural Text Classification (YM, JS, CZ0, JH0), pp. 983–992.

CIKM-2018-MarvaniyaSDFSS #student

Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading (SM, SS, TID, PF, RS, BS), pp. 993–1002.

CIKM-2018-BonchiGMR #analysis #probability #social

Probabilistic Causal Analysis of Social Influence (FB, FG, BM, DR), pp. 1003–1012.

CIKM-2018-LiuZHL #learning #representation #visual notation

Adversarial Learning of Answer-Related Representation for Visual Question Answering (YL, XZ0, FH, ZL), pp. 1013–1022.

CIKM-2018-Tang #network #probability #social

Stochastic Coupon Probing in Social Networks (ST), pp. 1023–1031.

CIKM-2018-NechaevCG #linked data #open data #predict #social #social media

Type Prediction Combining Linked Open Data and Social Media (YN, FC, CG), pp. 1033–1042.

CIKM-2018-CazzolatoTB #estimation #performance #reliability

Efficient and Reliable Estimation of Cell Positions (MTC, AJMT, KB), pp. 1043–1052.

CIKM-2018-TangTDJG #detection #on the #realtime

On Real-time Detecting Passenger Flow Anomalies (BT, HT, XD, BJ, TG), pp. 1053–1062.

CIKM-2018-BuyukcakirBC #classification #multi #novel #online

A Novel Online Stacked Ensemble for Multi-Label Stream Classification (AB, HRB, FC), pp. 1063–1072.

CIKM-2018-WuSDHFC #behaviour #named #rest

RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data (XW, BS, YD, CH0, LF, NVC), pp. 1073–1082.

CIKM-2018-JangCJK #memory management #named #performance

Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range (JGJ, DC, JJ, UK), pp. 1083–1092.

CIKM-2018-LeeOFKY #matrix #memory management

Disk-based Matrix Completion for Memory Limited Devices (DL, JO, CF, BK, HY), pp. 1093–1102.

CIKM-2018-ZhuangJYL #classification #coordination #manycore #parallel

Naive Parallelization of Coordinate Descent Methods and an Application on Multi-core L1-regularized Classification (YZ, YCJ, GXY, CJL), pp. 1103–1112.

CIKM-2018-LiLAL #industrial #multi #named #scalability

CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU (HL0, KL, JyA, KL0), pp. 1113–1122.

CIKM-2018-MafrurSK #data analysis #named #recommendation #visual notation

DiVE: Diversifying View Recommendation for Visual Data Exploration (RM, MAS, HAK), pp. 1123–1132.

CIKM-2018-WanWLBM #recommendation #representation

Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty (MW, DW, JL0, PB, JJM), pp. 1133–1142.

CIKM-2018-KangWM #recommendation

Recommendation Through Mixtures of Heterogeneous Item Relationships (WCK, MW, JJM), pp. 1143–1152.

CIKM-2018-ZhuHC #recommendation

Fairness-Aware Tensor-Based Recommendation (ZZ, XH, JC), pp. 1153–1162.

CIKM-2018-LiuPZJH #generative #keyword #natural language #problem #query

Generating Keyword Queries for Natural Language Queries to Alleviate Lexical Chasm Problem (XL, SP, QZ0, YGJ, XH), pp. 1163–1172.

CIKM-2018-Balaneshinkordan #ad hoc #architecture #documentation #retrieval

Attentive Neural Architecture for Ad-hoc Structured Document Retrieval (SB, AK, FN), pp. 1173–1182.

CIKM-2018-HashemiWKZC #query #user satisfaction #using

Measuring User Satisfaction on Smart Speaker Intelligent Assistants Using Intent Sensitive Query Embeddings (SHH, KW, AEK, IZ, PAC), pp. 1183–1192.

CIKM-2018-HashemiWKZC18a #identification #learning

Impact of Domain and User's Learning Phase on Task and Session Identification in Smart Speaker Intelligent Assistants (SHH, KW, AEK, IZ, PAC), pp. 1193–1202.

CIKM-2018-RaffSN #consistency

Engineering a Simplified 0-Bit Consistent Weighted Sampling (ER, JS, CN), pp. 1203–1212.

CIKM-2018-ANR #algorithm #generative #higher-order #scalability #using

A Scalable Algorithm for Higher-order Features Generation using MinHash (PA, NN, RR), pp. 1213–1222.

CIKM-2018-LeL #graph #multi #similarity

Multiperspective Graph-Theoretic Similarity Measure (DDL, HWL), pp. 1223–1232.

CIKM-2018-EsfandiariRA #elicitation

Explicit Preference Elicitation for Task Completion Time (ME, SBR, SAY), pp. 1233–1242.

CIKM-2018-GongLZLZK #matrix #online #predict

Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization (YG, ZL, JZ0, WL0, YZ, CK), pp. 1243–1252.

CIKM-2018-InelHLGSSKA #crowdsourcing #topic

Studying Topical Relevance with Evidence-based Crowdsourcing (OI, GH, DL, CVG, ZS, ES, EK, LA), pp. 1253–1262.

CIKM-2018-SunZY #encoding #privacy #random

Randomized Bit Vector: Privacy-Preserving Encoding Mechanism (LS, LZ, XY), pp. 1263–1272.

CIKM-2018-NguyenH #flexibility #modelling #parametricity #privacy

Privacy Protection for Flexible Parametric Survival Models (TTN, SCH), pp. 1273–1282.

CIKM-2018-DingZB0 #graph #privacy #scalability

Privacy-Preserving Triangle Counting in Large Graphs (XD, XZ, ZB, HJ0), pp. 1283–1292.

CIKM-2018-OosterhuisR #learning #online #rank

Differentiable Unbiased Online Learning to Rank (HO, MdR), pp. 1293–1302.

CIKM-2018-0002SZW0 #approach #modelling #quantum

A Quantum Many-body Wave Function Inspired Language Modeling Approach (PZ0, ZS, LZ, BW, DS0), pp. 1303–1312.

CIKM-2018-WangLGBN #framework #metric #optimisation #ranking

The LambdaLoss Framework for Ranking Metric Optimization (XW, CL0, NG, MB, MN), pp. 1313–1322.

CIKM-2018-KhattabHS #in memory #manycore #named #paradigm #polymorphism

PolyHJ: A Polymorphic Main-Memory Hash Join Paradigm for Multi-Core Machines (OK, MH, OS), pp. 1323–1332.

CIKM-2018-WanG #how

When Optimizer Chooses Table Scans: How to Make Them More Responsive (LW, TG), pp. 1333–1342.

CIKM-2018-KuralenokSKS #data analysis #performance #taxonomy

Construction of Efficient V-Gram Dictionary for Sequential Data Analysis (IK, NS, AK, JS), pp. 1343–1352.

CIKM-2018-SongYCX #collaboration #ranking

Neural Collaborative Ranking (BS, XY, YC, CX), pp. 1353–1362.

CIKM-2018-HuL #collaboration #multi #ranking

Collaborative Multi-objective Ranking (JH, PL0), pp. 1363–1372.

CIKM-2018-GyselRK

Mix 'n Match: Integrating Text Matching and Product Substitutability within Product Search (CVG, MdR, EK), pp. 1373–1382.

CIKM-2018-AliannejadiZCC #mobile

In Situ and Context-Aware Target Apps Selection for Unified Mobile Search (MA, HZ, FC, WBC), pp. 1383–1392.

CIKM-2018-YeCZ #community #detection #matrix

Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection (FY, CC, ZZ), pp. 1393–1402.

CIKM-2018-JinLRCLZY #generative

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation (XJ, WL, ZR, HC, SL, YZ, DY), pp. 1403–1412.

CIKM-2018-ZhaoX0ZLZ #approach #comprehension #learning #on the #predict

On Prediction of User Destination by Sub-Trajectory Understanding: A Deep Learning based Approach (JZ, JX, RZ0, PZ, CL, FZ), pp. 1413–1422.

CIKM-2018-HuangZZC #named #network #predict

DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction (CH0, JZ, YZ, NVC), pp. 1423–1432.

CIKM-2018-RenFZLLZYW #learning #multi #online

Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising (KR, YF, WZ0, SL, JL, YZ, YY0, JW0), pp. 1433–1442.

CIKM-2018-WuCYWTZXG #learning

Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising (DW, XC, XY, HW, QT, XZ, JX, KG), pp. 1443–1451.

CIKM-2018-Wang00 #multi #semantics

Deep Semantic Hashing with Multi-Adversarial Training (BW, KL0, JZ0), pp. 1453–1462.

CIKM-2018-SuLK #distributed #hybrid #learning #metric

Communication-Efficient Distributed Deep Metric Learning with Hybrid Synchronization (YS, MRL, IK), pp. 1463–1472.

CIKM-2018-PapineniW #graph

A Dynamical System on Bipartite Graphs (KP, PW), pp. 1479–1482.

CIKM-2018-FanSW #detection #network

Abnormal Event Detection via Heterogeneous Information Network Embedding (SF, CS, XW0), pp. 1483–1486.

CIKM-2018-WangYWJZZW #data mining #graph #mining #named #scalability

AceKG: A Large-scale Knowledge Graph for Academic Data Mining (RW, YY, JW, YJ, YZ, WZ0, XW), pp. 1487–1490.

CIKM-2018-KrishnanSSS #approach #collaboration #performance

An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering (AK, AS, AS, HS), pp. 1491–1494.

CIKM-2018-PathakGNK #named #query #retrieval

AQuPR: Attention based Query Passage Retrieval (PP, MDG, NN, HK), pp. 1495–1498.

CIKM-2018-FengCCR #summary

Attentive Encoder-based Extractive Text Summarization (CF, FC, HC, MdR), pp. 1499–1502.

CIKM-2018-BorisovKMR #modelling #named

Calibration: A Simple Way to Improve Click Models (AB, JK, IM, MdR), pp. 1503–1506.

CIKM-2018-ZhuangTD #behaviour #question #sequence

Can User Behaviour Sequences Reflect Perceived Novelty? (MZ, EGT, GD), pp. 1507–1510.

CIKM-2018-ArabzadehFZNB #dependence #predict #twitter

Causal Dependencies for Future Interest Prediction on Twitter (NA, HF, FZ, AN, EB), pp. 1511–1514.

CIKM-2018-KatoMFNY #challenge #comparison #lessons learnt #multi

Challenges of Multileaved Comparison in Practice: Lessons from NTCIR-13 OpenLiveQ Task (MPK, TM, SF, AN, TY), pp. 1515–1518.

CIKM-2018-MenghiniDW #compilation #documentation

Compiling Questions into Balanced Quizzes about Documents (CM, JDZ, RW0), pp. 1519–1522.

CIKM-2018-FerroLM0 #continuation #education #learning #rank

Continuation Methods and Curriculum Learning for Learning to Rank (NF0, CL, MM, RP0), pp. 1523–1526.

CIKM-2018-CirsteaMMG0 #correlation #multi #network #using

Correlated Time Series Forecasting using Multi-Task Deep Neural Networks (RGC, DVM, GMM, CG, BY0), pp. 1527–1530.

CIKM-2018-YangQZSZ #overview #sentiment #summary

Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization (MY0, QQ, JZ, YS, ZZ), pp. 1531–1534.

CIKM-2018-GaikwadMA #data type #performance #query

Data Structure for Efficient Line of Sight Queries (SG, MM, DCA), pp. 1535–1538.

CIKM-2018-AllerhandYYA #detection #interactive #question

Detecting Parkinson's Disease from Interactions with a Search Engine: Is Expert Knowledge Sufficient? (LIA, BY, EYT, DA), pp. 1539–1542.

CIKM-2018-WangXWCC #classification #named

DualBoost: Handling Missing Values with Feature Weights and Weak Classifiers that Abstain (WW, JX0, YW0, CC, FC0), pp. 1543–1546.

CIKM-2018-FangOMHXY #approach #effectiveness #modelling #topic #twitter

An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter (AF, IO, CM, PH, XX, HTY), pp. 1547–1550.

CIKM-2018-LuccheseN0TV #effectiveness #performance #query #web

Efficient and Effective Query Expansion for Web Search (CL, FMN, RP0, RT, RV), pp. 1551–1554.

CIKM-2018-CatenaFT #distributed #energy #performance #web

Efficient Energy Management in Distributed Web Search (MC, OF, NT), pp. 1555–1558.

CIKM-2018-MizusawaTMAM #crowdsourcing #performance #pipes and filters #workflow

Efficient Pipeline Processing of Crowdsourcing Workflows (KM, KT, MM, TA, AM), pp. 1559–1562.

CIKM-2018-XuL #adaptation #constraints #performance #similarity #taxonomy

Efficient Taxonomic Similarity Joins with Adaptive Overlap Constraint (PX0, JL), pp. 1563–1566.

CIKM-2018-GuoZNL #clustering #fuzzy

Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information (MG, RZ0, FN, XL), pp. 1567–1570.

CIKM-2018-WicaksonoM #effectiveness #empirical #modelling

Empirical Evidence for Search Effectiveness Models (AFW, AM), pp. 1571–1574.

CIKM-2018-ChenXM #detection #framework #social #social media

An Encoder-Memory-Decoder Framework for Sub-Event Detection in Social Media (GC, NX, WM), pp. 1575–1578.

CIKM-2018-ChenSTPCS #network

Enhanced Network Embeddings via Exploiting Edge Labels (HC, XS, YT, BP, MC, SS), pp. 1579–1582.

CIKM-2018-NikolentzosV #graph #kernel

Enhancing Graph Kernels via Successive Embeddings (GN, MV), pp. 1583–1586.

CIKM-2018-ChandarC #bias

Estimating Clickthrough Bias in the Cascade Model (PC, BC), pp. 1587–1590.

CIKM-2018-Seki #modelling #similarity

Exploring Neural Translation Models for Cross-Lingual Text Similarity (KS), pp. 1591–1594.

CIKM-2018-LiJS

Extracting Figures and Captions from Scientific Publications (PL0, XJ, HS), pp. 1595–1598.

CIKM-2018-SyedRN #named #rdf #using #validation

FactCheck: Validating RDF Triples Using Textual Evidence (ZHS, MR, ACNN), pp. 1599–1602.

CIKM-2018-Liu0SZ #network #predict

Hierarchical Complementary Attention Network for Predicting Stock Price Movements with News (QL, XC0, SS, SZ), pp. 1603–1606.

CIKM-2018-RajpalP #consistency #nondeterminism #optimisation #sorting

Holistic Crowd-Powered Sorting via AID: Optimizing for Accuracies, Inconsistencies, and Difficulties (SR, AGP), pp. 1607–1610.

CIKM-2018-LvZCXYL #network #predict

Homepage Augmentation by Predicting Links in Heterogenous Networks (JL, JZ, WC, QX, ZY, QL0), pp. 1611–1614.

CIKM-2018-MedlarG #consistency #feedback #how #question

How Consistent is Relevance Feedback in Exploratory Search? (AM, DG), pp. 1615–1618.

CIKM-2018-KhattarKV0 #hybrid #named #recommendation

HRAM: A Hybrid Recurrent Attention Machine for News Recommendation (DK, VK, VV, MG0), pp. 1619–1622.

CIKM-2018-VainshteinGKSR #approach #automation #hybrid #recommendation

A Hybrid Approach for Automatic Model Recommendation (RV, AGM, GK, BS, LR), pp. 1623–1626.

CIKM-2018-WuZSW #hybrid #modelling #predict #social

Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction (HW, WZ, WS, JW), pp. 1627–1630.

CIKM-2018-WuWL #classification #learning #multi #sentiment

Imbalanced Sentiment Classification with Multi-Task Learning (FW, CW, JL), pp. 1631–1634.

CIKM-2018-BagheriEA #ad hoc #documentation #representation #retrieval

Impact of Document Representation on Neural Ad hoc Retrieval (EB, FE, FAO), pp. 1635–1638.

CIKM-2018-Novotny #implementation

Implementation Notes for the Soft Cosine Measure (VN), pp. 1639–1642.

CIKM-2018-ZhangLS #network

Improve Network Embeddings with Regularization (YZ0, JL, OS), pp. 1643–1646.

CIKM-2018-LinmansVK #detection #robust #scalability #semantics #using #web

Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions (JL, BvdV, EK), pp. 1647–1650.

CIKM-2018-KwonKC #matrix #rank #self

Improving Low-Rank Matrix Completion with Self-Expressiveness (MK, HGK, HJC), pp. 1651–1654.

CIKM-2018-ChenWH #graph #network #predict

Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction (YC, ZW, XH), pp. 1655–1658.

CIKM-2018-GarigliottiB #knowledge base #named

IntentsKB: A Knowledge Base of Entity-Oriented Search Intents (DG, KB), pp. 1659–1662.

CIKM-2018-WuLZ #learning #retrieval #semantics #taxonomy

Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval (JW, ZL, HZ), pp. 1663–1666.

CIKM-2018-Zhu0WL #approach

K-core Minimization: An Edge Manipulation Approach (WZ, CC0, XW0, XL0), pp. 1667–1670.

CIKM-2018-PalC #network

Label Propagation with Neural Networks (AP, DC), pp. 1671–1674.

CIKM-2018-PauleMMO #fine-grained #learning #twitter

Learning to Geolocalise Tweets at a Fine-Grained Level (JDGP, YM, CM, IO), pp. 1675–1678.

CIKM-2018-RakeshGMA0

Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects (VR, RG, RM, NA, HL0), pp. 1679–1682.

CIKM-2018-HuSZY #network #recommendation

Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network (BH, CS, WXZ, TY), pp. 1683–1686.

CIKM-2018-LiangLWC #maintenance #predict

Long-Term RNN: Predicting Hazard Function for Proactive Maintenance of Water Mains (BL, ZL, YW0, FC0), pp. 1687–1690.

CIKM-2018-MouraoM #modelling #rank

Low-Complexity Supervised Rank Fusion Models (AM, JM), pp. 1691–1694.

CIKM-2018-MundraKSM #comprehension #mining

Mining & Summarizing E-petitions for Enhanced Understanding of Public Opinion (SM, SK, MS, SM), pp. 1695–1698.

CIKM-2018-PalottiZH #evaluation #framework #multi #named

MM: A new Framework for Multidimensional Evaluation of Search Engines (JRMP, GZ, AH), pp. 1699–1702.

CIKM-2018-XiaJSZWS #learning #modelling #multi #recommendation

Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning (QX, PJ, FS, YZ, XW, ZS), pp. 1703–1706.

CIKM-2018-YuTCY #modelling #multi

Modeling Multi-way Relations with Hypergraph Embedding (CAY, CLT, TSC, YHY), pp. 1707–1710.

CIKM-2018-Avigdor-Elgrabli #email #identification #thread

More than Threads: Identifying Related Email Messages (NAE, RG, IGZ, AR), pp. 1711–1714.

CIKM-2018-ZhangZNWH #knowledge base #multi #named

MultiE: Multi-Task Embedding for Knowledge Base Completion (ZZ, FZ, ZYN, DW, QH), pp. 1715–1718.

CIKM-2018-WangM #classification #multi #sentiment

Multi-Emotion Category Improving Embedding for Sentiment Classification (SW, XM0), pp. 1719–1722.

CIKM-2018-ZhuVGL #clustering #image #multi

Multiple Manifold Regularized Sparse Coding for Multi-View Image Clustering (XZ, KDV, JG, JL), pp. 1723–1726.

CIKM-2018-YuZYWW0C #feedback #multi #ranking

Multiple Pairwise Ranking with Implicit Feedback (RY, YZ, YY, LW, CW, QL0, EC), pp. 1727–1730.

CIKM-2018-XiaoGLXC #novel

Neighborhood Voting: A Novel Search Scheme for Hashing (YX, JG, YL, JX0, XC), pp. 1731–1734.

CIKM-2018-XuSLF #ambiguity

A Network-embedding Based Method for Author Disambiguation (JX, SS, DL, YF), pp. 1735–1738.

CIKM-2018-LiJ #retrieval

Neural Retrieval with Partially Shared Embedding Spaces (BL, LJ), pp. 1739–1742.

CIKM-2018-LinLL #comprehension

An Option Gate Module for Sentence Inference on Machine Reading Comprehension (XL, RL, YL), pp. 1743–1746.

CIKM-2018-Moreno #clustering #symmetry

Point Symmetry-based Deep Clustering (JGM), pp. 1747–1750.

CIKM-2018-KhodabakhshFZB #predict #social #streaming

Predicting Personal Life Events from Streaming Social Content (MK, HF, FZ, EB), pp. 1751–1754.

CIKM-2018-YangGC #comprehension #e-commerce #perspective #query

Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective (YY, YG, XC), pp. 1755–1758.

CIKM-2018-NobariAHN #comprehension #identification #query

Query Understanding via Entity Attribute Identification (ADN, AA, FH, MN), pp. 1759–1762.

CIKM-2018-ZhangYCW #independence #recognition

Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model (DZ, LY, KC, SW), pp. 1763–1766.

CIKM-2018-LinGL #recommendation #social

Recommender Systems with Characterized Social Regularization (THL, CG, YL0), pp. 1767–1770.

CIKM-2018-PandeyKS #learning #recommendation #using

Recommending Serendipitous Items using Transfer Learning (GP0, DK, AS), pp. 1771–1774.

CIKM-2018-EsuliF0 #network #quantifier #sentiment

A Recurrent Neural Network for Sentiment Quantification (AE, AMF, FS0), pp. 1775–1778.

CIKM-2018-AkramiGHL #graph

Re-evaluating Embedding-Based Knowledge Graph Completion Methods (FA, LG, WH, CL), pp. 1779–1782.

CIKM-2018-YasserKE #case study #ranking #web

Re-ranking Web Search Results for Better Fact-Checking: A Preliminary Study (KY, MK, TE), pp. 1783–1786.

CIKM-2018-VadapalliSPSV #automation #named #towards

Sci-Blogger: A Step Towards Automated Science Journalism (RV, BS, NP, BVS, VV), pp. 1787–1790.

CIKM-2018-WuWL18a #collaboration #detection #learning #microblog #social

Semi-Supervised Collaborative Learning for Social Spammer and Spam Message Detection in Microblogging (FW, CW, JL), pp. 1791–1794.

CIKM-2018-WangCL #information management

A Sequential Neural Information Diffusion Model with Structure Attention (ZW, CC, WL), pp. 1795–1798.

CIKM-2018-ZhuLYZ0W #framework #learning #predict

A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine (JZ, YL, SY, SZ, ZY0, CW), pp. 1799–1802.

CIKM-2018-FangZYMZ #benchmark #metric #named #speech #video

TED-KISS: A Known-Item Speech Video Search Benchmark (FF, BWZ, XCY, HXM, FZ), pp. 1803–1806.

CIKM-2018-JiaARSW #knowledge base #named

TEQUILA: Temporal Question Answering over Knowledge Bases (ZJ, AA, RSR, JS, GW), pp. 1807–1810.

CIKM-2018-ZhongS0 #automation #detection #multi #privacy #towards

Toward Automated Multiparty Privacy Conflict Detection (HZ, ACS, DJM0), pp. 1811–1814.

CIKM-2018-TiwariM #classification #framework #towards

Towards a Quantum-Inspired Framework for Binary Classification (PT, MM), pp. 1815–1818.

CIKM-2018-LiTL #predict #towards

Towards Explainable Networked Prediction (LL, HT, HL), pp. 1819–1822.

CIKM-2018-ChekolS #towards

Towards Partition-Aware Lifted Inference (MWC, HS), pp. 1823–1826.

CIKM-2018-RoleMN #algorithm #clustering #evaluation #using #word

Unsupervised Evaluation of Text Co-clustering Algorithms Using Neural Word Embeddings (FR, SM, MN), pp. 1827–1830.

CIKM-2018-GaoJLD0 #identification #network #social

User Identification with Spatio-Temporal Awareness across Social Networks (XG, WJ, YL0, YD, WD0), pp. 1831–1834.

CIKM-2018-RoyGBBM #how #information retrieval #normalisation #performance #using #word

Using Word Embeddings for Information Retrieval: How Collection and Term Normalization Choices Affect Performance (DR, DG, SB, SB, MM), pp. 1835–1838.

CIKM-2018-WangCZLL #recommendation

Variational Recurrent Model for Session-based Recommendation (ZW, CC, KZ, YL, WL), pp. 1839–1842.

CIKM-2018-0002WYTZZ #named #predict #semistructured data #social

vec2Link: Unifying Heterogeneous Data for Social Link Prediction (FZ0, BW, YY, GT, KZ, TZ), pp. 1843–1846.

CIKM-2018-HoangVN #benchmark #dataset #detection #metric #named #topic

W2E: A Worldwide-Event Benchmark Dataset for Topic Detection and Tracking (TAH, KDV, WN), pp. 1847–1850.

CIKM-2018-LiWZ #estimation #generative

Weakly-Supervised Generative Adversarial Nets with Auxiliary Information for Wireless Coverage Estimation (ZL, HW, MZ), pp. 1851–1854.

CIKM-2018-KhattarKV018a #3d #network #recommendation #word

Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation (DK, VK, VV, MG0), pp. 1855–1858.

CIKM-2018-Wang0C #modelling #overview #recommendation

Word-Driven and Context-Aware Review Modeling for Recommendation (QW, SL0, GC), pp. 1859–1862.

CIKM-2018-DasGZ #datalog #named #reasoning

ASTRO: A Datalog System for Advanced Stream Reasoning (AD, SMG, CZ), pp. 1863–1866.

CIKM-2018-NidzwetzkiG #big data #multi #scalability

BBoxDB - A Scalable Data Store for Multi-Dimensional Big Data (JKN, RHG), pp. 1867–1870.

CIKM-2018-RepkeKEHHKSSZ #corpus #email #interactive #scalability

Beacon in the Dark: A System for Interactive Exploration of Large Email Corpora (TR, RK, JE, MH, JH, DK, HS, NS, AZ), pp. 1871–1874.

CIKM-2018-LeiXWP #behaviour #mining #named

CAPatternMiner: Mining Ship Collision Avoidance Behavior from AIS Trajectory Data (PRL, LPX, YTW, WCP), pp. 1875–1878.

CIKM-2018-DeutchF #classification #constraints #named

CEC: Constraints based Explanation for Classifications (DD, NF), pp. 1879–1882.

CIKM-2018-LosterNEF #graph #named

CurEx: A System for Extracting, Curating, and Exploring Domain-Specific Knowledge Graphs from Text (ML, FN, JE, BF), pp. 1883–1886.

CIKM-2018-CeriCGKMNP #query

Demonstration of GenoMetric Query Language (SC, AC, AG, AK, MM, LN, PP), pp. 1887–1890.

CIKM-2018-Kakar0SMTZRHSD #interactive #named #safety

DEVES: Interactive Signal Analytics for Drug Safety (TK, XQ0, AS, BM, HQT, BZ, EAR, LH, SKS, SD), pp. 1891–1894.

CIKM-2018-WangLKA #distributed #documentation #workflow

Distributed Ledger Technology for Document and Workflow Management in Trade and Logistics (ZW, DYL, DK, EA), pp. 1895–1898.

CIKM-2018-Jatowt0BTD #evolution #interactive #visualisation #word

Every Word has its History: Interactive Exploration and Visualization of Word Sense Evolution (AJ, RC0, SSB, NT, AD), pp. 1899–1902.

CIKM-2018-SantosB0TTB #similarity

Exploring Diversified Similarity with Kundaha (LFDS, GB, DdO0, AJMT, CTJ, MVNB), pp. 1903–1906.

CIKM-2018-RaynaudSL #named #navigation #topic

Fouilla: Navigating DBpedia by Topic (TR, JS, FL), pp. 1907–1910.

CIKM-2018-BeretaCGKPSUVW #big data

From Copernicus Big Data to Big Information and Big Knowledge: A Demo from the Copernicus App Lab Project (KB, HC, EG, MK, DAP, GS, SU, VV, FW), pp. 1911–1914.

CIKM-2018-VillalobosDIGB #industrial #named #reduction

I4TSRS: A System to Assist a Data Engineer in Time-Series Dimensionality Reduction in Industry 4.0 Scenarios (KV, BD, AI, AG, JMB), pp. 1915–1918.

CIKM-2018-GershteinMYZ #constraints

IM Balanced: Influence Maximization Under Balance Constraints (SG, TM, BY, GZ), pp. 1919–1922.

CIKM-2018-SojkaRN #library #named #retrieval

MIaS: Math-Aware Retrieval in Digital Mathematical Libraries (PS, MR, VN), pp. 1923–1926.

CIKM-2018-KalayciXRKC #named #ontology #query

Ontop-temporal: A Tool for Ontology-based Query Answering over Temporal Data (EGK, GX0, VR, TEK, DC), pp. 1927–1930.

CIKM-2018-KuhlmanVDNDPRH #interactive #personalisation #ranking

Preference-driven Interactive Ranking System for Personalized Decision Support (CK, MVV, DD, MN, GD, ZP, EAR, LH), pp. 1931–1934.

CIKM-2018-DeutchGM #detection #privacy #using

Preserving Privacy of Fraud Detection Rule Sharing Using Intel's SGX (DD, YG, TM), pp. 1935–1938.

CIKM-2018-ScellsZ #comprehension #named #query #visualisation

searchrefiner: A Query Visualisation and Understanding Tool for Systematic Reviews (HS, GZ), pp. 1939–1942.

CIKM-2018-BuenrostroTRPC #ecosystem #privacy #semistructured data

Single-Setup Privacy Enforcement for Heterogeneous Data Ecosystems (IB, AT, VR, EP, ZC), pp. 1943–1946.

CIKM-2018-AbelKPFK0AE #multi #named

SOURCERY: User Driven Multi-Criteria Source Selection (EA, JAK, NWP, AAAF, MK, NK0, NAA, SME), pp. 1947–1950.

CIKM-2018-LevchenkoYAMKS #dataset #distributed #named #sketching

Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets (OL, DEY, RA, FM, BK, DES), pp. 1951–1954.

CIKM-2018-KweeCPL #lifecycle #mining #named #using #visualisation

Traffic-Cascade: Mining and Visualizing Lifecycles of Traffic Congestion Events Using Public Bus Trajectories (ATK, MFC, PKP, EPL), pp. 1955–1958.

CIKM-2018-KangFYXCT #multi #named #network #ranking

X-Rank: Explainable Ranking in Complex Multi-Layered Networks (JK, SF, HY, YX, NC, HT), pp. 1959–1962.

CIKM-2018-KalokyriBM #integration #named

YourDigitalSelf: A Personal Digital Trace Integration Tool (VK, AB, AM), pp. 1963–1966.

CIKM-2018-PatidarAVS #automation #modelling #using

Automatic Conversational Helpdesk Solution using Seq2Seq and Slot-filling Models (MP, PA, LV, GMS), pp. 1967–1975.

CIKM-2018-CaoCCTLL #assessment #behaviour #community #detection #enterprise #network

Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks (CC, ZC, JC, LAT, CL, ZL), pp. 1977–1985.

CIKM-2018-LinCCT0CL #collaboration #detection #ranking

Collaborative Alert Ranking for Anomaly Detection (YL, ZC, CC, LAT, KZ0, WC, ZL), pp. 1987–1995.

CIKM-2018-DaveZHAK #approach #learning #recommendation #representation

A Combined Representation Learning Approach for Better Job and Skill Recommendation (VSD, BZ, MAH, KA, MK), pp. 1997–2005.

CIKM-2018-ChuLXPLR0Z #e-commerce #graph #optimisation #ranking

Deep Graph Embedding for Ranking Optimization in E-commerce (CC, ZL, BX, FP, CL, RR, QL0, JZ), pp. 2007–2015.

CIKM-2018-BiessmannSSSL #learning

“Deep” Learning for Missing Value Imputationin Tables with Non-Numerical Data (FB, DS, SS, PS, DL), pp. 2017–2025.

CIKM-2018-AminiNPGYK #authentication #framework #mobile #named

DeepAuth: A Framework for Continuous User Re-authentication in Mobile Apps (SA, VN, AP, SG, PSY, CK), pp. 2027–2035.

CIKM-2018-WangGEGSZBC #internet #recommendation

Device-Aware Rule Recommendation for the Internet of Things (BW, XG0, ME, ZG, BS, YZ, JB, DC), pp. 2037–2045.

CIKM-2018-HuNY #framework #linear #performance #predict

A Fast Linear Computational Framework for User Action Prediction in Tencent MyApp (YH, DN, JY), pp. 2047–2055.

CIKM-2018-ZhangWFSL #mobile #named #performance

FastInput: Improving Input Efficiency on Mobile Devices (JZ, XW, YF, MS, PL0), pp. 2057–2065.

CIKM-2018-FanLFSL #identification #network #semantics

A Globalization-Semantic Matching Neural Network for Paraphrase Identification (MF, WL, YF, MS, PL0), pp. 2067–2075.

CIKM-2018-LiuCYZLS #detection #graph #network

Heterogeneous Graph Neural Networks for Malicious Account Detection (ZL, CC, XY, JZ, XL, LS), pp. 2077–2085.

CIKM-2018-GeZZCLYHLSLYHZZ #behaviour #image #matter #modelling #using #visual notation

Image Matters: Visually Modeling User Behaviors Using Advanced Model Server (TG, LZ, GZ, KC, SL, HY, ZH, BL, PS, HL, PY, SH, ZZ, XZ, YZ, KG), pp. 2087–2095.

CIKM-2018-ChiangLLH

Inferring Trip Occupancies in the Rise of Ride-Hailing Services (MFC, EPL, WCL, TAH), pp. 2097–2105.

CIKM-2018-GeyikDMS #personalisation

In-Session Personalization for Talent Search (SCG, VD, MM, RS), pp. 2107–2115.

CIKM-2018-ShangSSLGKLY0 #using

Investigating Rumor News Using Agreement-Aware Search (JS, JS, TS, XL, AG, FK, ÁDL, CY0, JH0), pp. 2117–2125.

CIKM-2018-ShenKBQM #clustering #email #learning #multi #query #ranking

Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering (JS, MK, MB, ZQ, DM), pp. 2127–2135.

CIKM-2018-BordinoG

Network-based Receivable Financing (IB, FG), pp. 2137–2145.

CIKM-2018-DingLX0S #machine learning #optimisation #realtime

Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability (YD, JL, JX, MJ0, YS), pp. 2147–2154.

CIKM-2018-LiangYTLYXZ #linear #modelling #optimisation

Optimizing Generalized Linear Models with Billions of Variables (YL, YY, MT, CL, WY, WX, RZ), pp. 2155–2163.

CIKM-2018-WilhelmRBJCG #process #recommendation

Practical Diversified Recommendations on YouTube with Determinantal Point Processes (MW, AR, AB, SJ, EHC, JG), pp. 2165–2173.

CIKM-2018-ChenKBRKKB #analysis #behaviour #predict

Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings (CC, SK, HB, RAR, EK, BK, RCB), pp. 2175–2182.

CIKM-2018-KenthapadiT #framework #named #privacy

PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn (KK, TTLT), pp. 2183–2191.

CIKM-2018-JinSLGWZ #learning #multi #realtime

Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising (JJ, CS, HL, KG, JW0, WZ0), pp. 2193–2201.

CIKM-2018-YangCR #predict #process

Recurrent Spatio-Temporal Point Process for Check-in Time Prediction (GY, YC, CKR), pp. 2203–2211.

CIKM-2018-ZhangNCC #database #parallel #probability #scalability #using

Scalable Entity Resolution Using Probabilistic Signatures on Parallel Databases (YZ, KSN, TC, PC), pp. 2213–2221.

CIKM-2018-PapalexakisP #framework #multi #named

tHoops: A Multi-Aspect Analytical Framework for Spatio-Temporal Basketball Data (EEP, KP), pp. 2223–2232.

CIKM-2018-BellKM #ranking

The Title Says It All: A Title Term Weighting Strategy For eCommerce Ranking (AB, PSK, DM), pp. 2233–2241.

CIKM-2018-MehrotraMBL0 #evaluation #recommendation #towards #trade-off

Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems (RM, JM, HB, ML, FD0), pp. 2243–2251.

CIKM-2018-RamanathIPHGOWK #learning #representation #towards

Towards Deep and Representation Learning for Talent Search at LinkedIn (RR, HI, GP, BH, QG, CO, XW, KK, SCG), pp. 2253–2261.

CIKM-2018-HanGSA #effectiveness #towards

Towards Effective Extraction and Linking of Software Mentions from User-Generated Support Tickets (JH, KHG, AS, MA), pp. 2263–2271.

CIKM-2018-LiYYZ #algorithm #framework

A Two-Layer Algorithmic Framework for Service Provider Configuration and Planning with Optimal Spatial Matching (XL, JY, MY, JZ), pp. 2273–2281.

CIKM-2018-SharchilevRROSR #predict

Web-based Startup Success Prediction (BS, MR, AYR, DO, PS, MdR), pp. 2283–2291.

CIKM-2018-BeretaKMSD #big data

From Big Data to Big Information and Big Knowledge: the Case of Earth Observation Data (KB, MK, SM, GS, BD), pp. 2293–2294.

CIKM-2018-VazirgiannisMN #graph #information retrieval #mining #named

GraphRep: Boosting Text Mining, NLP and Information Retrieval with Graphs (MV, FDM, GN), pp. 2295–2296.

CIKM-2018-Elghandour0OV #incremental #query #scalability

Incremental Techniques for Large-Scale Dynamic Query Processing (IE, AK0, DO, SV), pp. 2297–2298.

CIKM-2018-HerwegenHTMD #information management #linked data #open data #representation #tutorial

Knowledge Representation as Linked Data: Tutorial (JVH, PH, RT, BDM, AD), pp. 2299–2300.

CIKM-2018-LuHC #challenge #database #multi

Multi-model Databases and Tightly Integrated Polystores: Current Practices, Comparisons, and Open Challenges (JL, IH, BC), pp. 2301–2302.

CIKM-2018-CalvaneseX #data access #integration #semantics

Semantic Technologies for Data Access and Integration (DC, GX0), pp. 2303–2304.

CIKM-2018-AiMLC #learning #rank #theory and practice

Unbiased Learning to Rank: Theory and Practice (QA, JM, YL, WBC), pp. 2305–2306.

CIKM-2018-Omidvar-Tehrani #visualisation

User Group Analytics: Discovery, Exploration and Visualization (BOT, SAY), pp. 2307–2308.

CIKM-2018-CuzzocreaBG #summary

CIKM 2018 Co-Located Workshops Summary (AC, FB, DG), pp. 2309–2311.