Proceedings of the 27th ACM International Conference on Information and Knowledge Management
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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.

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@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.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.