BibSLEIGH — Proceedings of the 26th ACM International Conference on Information and Knowledge Management

Ee-Peng Lim, Marianne Winslett, Mark Sanderson, Ada Wai-Chee Fu, Jimeng Sun, J. Shane Culpepper, Eric Lo, Joyce C. Ho, Debora Donato, Rakesh Agrawal 0001, Yu Zheng 0004, Carlos Castillo 0001, Aixin Sun, Vincent S. Tseng, Chenliang Li
Proceedings of the 26th ACM International Conference on Information and Knowledge Management
CIKM, 2017.

KER

@proceedings{CIKM-2017,
	editor        = "Ee-Peng Lim and Marianne Winslett and Mark Sanderson and Ada Wai-Chee Fu and Jimeng Sun and J. Shane Culpepper and Eric Lo and Joyce C. Ho and Debora Donato and Rakesh Agrawal 0001 and Yu Zheng 0004 and Carlos Castillo 0001 and Aixin Sun and Vincent S. Tseng and Chenliang Li",
	isbn          = "978-1-4503-4918-5",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 26th ACM International Conference on Information and Knowledge Management}",
	year          = 2017,
}

Contents (350 items)

CIKM-2017-Rastogi #machine learning: Machine Learning @ Amazon (RR), p. 1.
CIKM-2017-Mihalcea #detection: Deception Detection: When Computers Become Better than Humans (RM), p. 3.
CIKM-2017-Yang #learning: When Deep Learning Meets Transfer Learning (QY), p. 5.
CIKM-2017-Krishnan: A Hyper-connected World (KAK), p. 7.
CIKM-2017-Li0CH #modelling #video #visual notation: Jointly Modeling Static Visual Appearance and Temporal Pattern for Unsupervised Video Hashing (CL, YY0, JC, ZH), pp. 9–17.
CIKM-2017-KimJY #multi #online #using: Construction of a National Scale ENF Map using Online Multimedia Data (HK, YBJ, JWY), pp. 19–28.
CIKM-2017-ZhaoXYYZFQ #image #learning: Dual Learning for Cross-domain Image Captioning (WZ, WX, MY0, JY, ZZ, YF, YQ), pp. 29–38.
CIKM-2017-WuZCC #approach #image #scalability: A New Approach to Compute CNNs for Extremely Large Images (SW, MZ, GC0, KC0), pp. 39–48.
CIKM-2017-LiK #evaluation #information retrieval #scalability: Active Sampling for Large-scale Information Retrieval Evaluation (DL, EK), pp. 49–58.
CIKM-2017-ComarS #estimation: Intent Based Relevance Estimation from Click Logs (PMC, SHS), pp. 59–66.
CIKM-2017-BaruahML #clustering #comparison #summary #timeline: A Comparison of Nuggets and Clusters for Evaluating Timeline Summaries (GB, RM, JL), pp. 67–76.
CIKM-2017-OosterhuisR #evaluation #online #scalability: Sensitive and Scalable Online Evaluation with Theoretical Guarantees (HO, MdR), pp. 77–86.
CIKM-2017-ThonetCBP #modelling #network #social #topic: Users Are Known by the Company They Keep: Topic Models for Viewpoint Discovery in Social Networks (TT, GC, MB, KPS), pp. 87–96.
CIKM-2017-ChengZZKZW #classification #network #sentiment: Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network (JC, SZ, JZ, IK, XZ0, HW0), pp. 97–106.
CIKM-2017-TayTH #analysis #memory management #network #sentiment: Dyadic Memory Networks for Aspect-based Sentiment Analysis (YT, LAT, SCH), pp. 107–116.
CIKM-2017-ChenLL #analysis #modelling #sentiment: Modeling Language Discrepancy for Cross-Lingual Sentiment Analysis (QC, CL, WL0), pp. 117–126.
CIKM-2017-MaHLSYLR #analysis #clustering #graph #multi: Multi-view Clustering with Graph Embedding for Connectome Analysis (GM, LH0, CTL, WS, PSY, ADL, ABR), pp. 127–136.
CIKM-2017-WangATL #network: Attributed Signed Network Embedding (SW, CCA, JT, HL0), pp. 137–146.
CIKM-2017-LyuZZ #network #quality #similarity: Enhancing the Network Embedding Quality with Structural Similarity (TL, YZ, YZ), pp. 147–156.
CIKM-2017-HuCHFL #graph #nondeterminism #on the: On Embedding Uncertain Graphs (JH, RC, ZH0, YF, SL), pp. 157–166.
CIKM-2017-BhamidipatiKM #predict #scalability: A Large Scale Prediction Engine for App Install Clicks and Conversions (NB, RK, SM), pp. 167–175.
CIKM-2017-SuAKPGE #api #natural language #web: Building Natural Language Interfaces to Web APIs (YS0, AHA, MK, PP, MG, MJE), pp. 177–186.
CIKM-2017-El-RobyA #feedback #integration #named #web: UFeed: Refining Web Data Integration Based on User Feedback (AER, AA), pp. 187–196.
CIKM-2017-VellosoD #approach #using #web: Extracting Records from the Web Using a Signal Processing Approach (RPV, CFD), pp. 197–206.
CIKM-2017-KansalS #database #graph #scalability: A Scalable Graph-Coarsening Based Index for Dynamic Graph Databases (AK, FS), pp. 207–216.
CIKM-2017-ZhengC0YZ #graph #natural language: Natural Language Question/Answering: Let Users Talk With The Knowledge Graph (WZ, HC, LZ0, JXY, KZ), pp. 217–226.
CIKM-2017-Han0YZ #approach #assembly #graph #keyword #query #rdf: Keyword Search on RDF Graphs - A Query Graph Assembly Approach (SH, LZ0, JXY, DZ0), pp. 227–236.
CIKM-2017-0002L #learning #representation: Region Representation Learning via Mobility Flow (HW0, ZL), pp. 237–246.
CIKM-2017-FanGLXPC #learning #visual notation #web: Learning Visual Features from Snapshots for Web Search (YF, JG, YL, JX0, LP, XC), pp. 247–256.
CIKM-2017-PangLGXXC #architecture #information retrieval #named #ranking: DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval (LP, YL, JG, JX0, JX, XC), pp. 257–266.
CIKM-2017-BiegaGFGW #community #learning #online: Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities (AJB, AG, HF, KPG, GW), pp. 267–276.
CIKM-2017-OosterhuisR17a #information retrieval #learning #online #quality #rank: Balancing Speed and Quality in Online Learning to Rank for Information Retrieval (HO, MdR), pp. 277–286.
CIKM-2017-LiuZLCYM #multi: Crowd-enabled Pareto-Optimal Objects Finding Employing Multi-Pairwise-Comparison Questions (CL0, YZ, LL0, LC, DY, CM), pp. 287–295.
CIKM-2017-ZhaoLWS0 #crowdsourcing: Destination-aware Task Assignment in Spatial Crowdsourcing (YZ0, YL, YW, HS, KZ0), pp. 297–306.
CIKM-2017-WengLHF #crowdsourcing #multi: Crowdsourced Selection on Multi-Attribute Data (XW, GL0, HH, JF), pp. 307–316.
CIKM-2017-YalavarthiKK #fault: Select Your Questions Wisely: For Entity Resolution With Crowd Errors (VKY, XK, AK), pp. 317–326.
CIKM-2017-GyselMVRKGC #email #recommendation: Reply With: Proactive Recommendation of Email Attachments (CVG, BM, MV, RR, GK, PG, NC), pp. 327–336.
CIKM-2017-XiaoMZLM #learning #personalisation #recommendation #social: Learning and Transferring Social and Item Visibilities for Personalized Recommendation (XL0, MZ0, YZ, YL, SM), pp. 337–346.
CIKM-2017-WangWZCG #online #recommendation #semantics #social #topic: Joint Topic-Semantic-aware Social Recommendation for Online Voting (HW0, JW, MZ, JC, MG), pp. 347–356.
CIKM-2017-WangHLE #interactive #recommendation #social: Interactive Social Recommendation (XW0, SCHH, CL, ME), pp. 357–366.
CIKM-2017-YangWLZL #graph #network: From Properties to Links: Deep Network Embedding on Incomplete Graphs (DY, SW, CL, XZ0, ZL), pp. 367–376.
CIKM-2017-CavallariZCCC #community #detection #graph #learning: Learning Community Embedding with Community Detection and Node Embedding on Graphs (SC, VWZ, HC, KCCC, EC), pp. 377–386.
CIKM-2017-LiDHTCL #learning #network: Attributed Network Embedding for Learning in a Dynamic Environment (JL, HD, XH, JT, YC, HL0), pp. 387–396.
CIKM-2017-ZhangXKZ #graph #interactive #learning: Learning Node Embeddings in Interaction Graphs (YZ, YX, XK, YZ), pp. 397–406.
CIKM-2017-RahmanAKD #category theory #performance: Efficient Computation of Subspace Skyline over Categorical Domains (MFR, AA, NK, GD0), pp. 407–416.
CIKM-2017-YuQL0CZ #algorithm #performance: Fast Algorithms for Pareto Optimal Group-based Skyline (WY, ZQ, JL, LX0, XC, HZ), pp. 417–426.
CIKM-2017-ZhangGHCL #probability #semistructured data: Probabilistic Skyline on Incomplete Data (KZ, HG, XH, ZC, JL), pp. 427–436.
CIKM-2017-ZhangZ #distributed: Communication-Efficient Distributed Skyline Computation (HZ, QZ0), pp. 437–446.
CIKM-2017-KenthapadiAZA #robust: Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary (KK, SA, LZ, DA), pp. 447–455.
CIKM-2017-ProskurniaM0AC #detection #documentation #performance #topic #using: Efficient Document Filtering Using Vector Space Topic Expansion and Pattern-Mining: The Case of Event Detection in Microposts (JP, RM, CC0, KA, PCM), pp. 457–466.
CIKM-2017-MaYC #named #predict #video: LARM: A Lifetime Aware Regression Model for Predicting YouTube Video Popularity (CM, ZY, CWC), pp. 467–476.
CIKM-2017-KimML #modelling: Modeling Affinity based Popularity Dynamics (MK, DAM, JL), pp. 477–486.
CIKM-2017-LuJEDRSS #problem: Scenic Routes Now: Efficiently Solving the Time-Dependent Arc Orienteering Problem (YL0, GJ, TE, UD, MR, CS, MS), pp. 487–496.
CIKM-2017-ZhaoT #correlation #modelling #predict: Modeling Temporal-Spatial Correlations for Crime Prediction (XZ, JT), pp. 497–506.
CIKM-2017-ZhangZBLR: Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data (XZ, LZ0, APB, CTL, NR), pp. 507–516.
CIKM-2017-ChenYW0HZ #behaviour: Exploiting Spatio-Temporal User Behaviors for User Linkage (WC, HY, WW0, LZ0, WH, XZ0), pp. 517–526.
CIKM-2017-JiangA #retrieval #similarity: Similarity-based Distant Supervision for Definition Retrieval (JJ, JA), pp. 527–536.
CIKM-2017-KhuranaASVS #hybrid #network: Hybrid BiLSTM-Siamese network for FAQ Assistance (PK, PA, GMS, LV, AS0), pp. 537–545.
CIKM-2017-SahaJHH #learning #modelling #representation: Regularized and Retrofitted models for Learning Sentence Representation with Context (TKS, SRJ, NH, MAH), pp. 547–556.
CIKM-2017-RaoTHJL #network: Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks (JR, FT, HH, OJ, JL), pp. 557–566.
CIKM-2017-KozawaAK #clustering #graph #parallel: GPU-Accelerated Graph Clustering via Parallel Label Propagation (YK, TA, HK), pp. 567–576.
CIKM-2017-FaniBD #community #identification: Temporally Like-minded User Community Identification through Neural Embeddings (HF, EB, WD), pp. 577–586.
CIKM-2017-ChenYSGHY #network #scalability: Community-Based Network Alignment for Large Attributed Network (ZC0, XY, BS, JG, XH, WSY), pp. 587–596.
CIKM-2017-SunSGOC #approach #community #detection #symmetry: A Non-negative Symmetric Encoder-Decoder Approach for Community Detection (BJS, HS, JG, WO, XC), pp. 597–606.
CIKM-2017-CristoHCLP #modelling #performance #recognition #word: Fast Word Recognition for Noise channel-based Models in Scenarios with Noise Specific Domain Knowledge (MC, RH, ALdCC, FAL, MdGCP), pp. 607–616.
CIKM-2017-YuanSCZG0 #detection #multi #sequence: Detecting Multiple Periods and Periodic Patterns in Event Time Sequences (QY0, JS, XC, CZ0, XG, JH0), pp. 617–626.
CIKM-2017-GhoshLS: Finding Periodic Discrete Events in Noisy Streams (AG, CL, RS), pp. 627–636.
CIKM-2017-SchaferL #classification #performance: Fast and Accurate Time Series Classification with WEASEL (PS0, UL), pp. 637–646.
CIKM-2017-BastB #named #performance #query: QLever: A Query Engine for Efficient SPARQL+Text Search (HB, BB), pp. 647–656.
CIKM-2017-ChengHDL #architecture #case study #in memory #manycore: A Study of Main-Memory Hash Joins on Many-core Processor: A Case with Intel Knights Landing Architecture (XC, BH, XD, CTL), pp. 657–666.
CIKM-2017-LiuCC #approximate #named #nearest neighbour: PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization (YL, HC, JC), pp. 667–676.
CIKM-2017-MoffatP: ANS-Based Index Compression (AM, MP), pp. 677–686.
CIKM-2017-CaoHF: Covering the Optimal Time Window Over Temporal Data (BC0, CH, JF), pp. 687–696.
CIKM-2017-Chekol #evaluation #probability #query #scalability: Scaling Probabilistic Temporal Query Evaluation (MWC), pp. 697–706.
CIKM-2017-DongCWT0LLC #enterprise #performance #security #sequence: Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems (BD, ZC, WHW, LAT, KZ0, YL, ZL, HC), pp. 707–715.
CIKM-2017-ZhangJT #retrieval #using: Temporal Analog Retrieval using Transformation over Dual Hierarchical Structures (YZ, AJ, KT), pp. 717–726.
CIKM-2017-WilliamsZ #detection #interactive #modelling #sequence: Does That Mean You're Happy?: RNN-based Modeling of User Interaction Sequences to Detect Good Abandonment (KW, IZ), pp. 727–736.
CIKM-2017-MehrotraASYZKK #modelling #predict: Deep Sequential Models for Task Satisfaction Prediction (RM, AHA, MS, EY, IZ, AEK, MK), pp. 737–746.
CIKM-2017-JiangA17a #adaptation #effectiveness #metric #persistent: Adaptive Persistence for Search Effectiveness Measures (JJ, JA), pp. 747–756.
CIKM-2017-MachmouchiAZB #metric #online #quality: Beyond Success Rate: Utility as a Search Quality Metric for Online Experiments (WM, AHA, IZ, GB), pp. 757–765.
CIKM-2017-MeleBC #analysis #multi: Linking News across Multiple Streams for Timeliness Analysis (IM, SAB, FC), pp. 767–776.
CIKM-2017-LiuNLKX #online: Growing Story Forest Online from Massive Breaking News (BL, DN, KL, LK, YX), pp. 777–785.
CIKM-2017-LimLH #framework #interactive #named #twitter: iFACT: An Interactive Framework to Assess Claims from Tweets (WYL, MLL, WH), pp. 787–796.
CIKM-2017-RuchanskySL #detection #hybrid #named: CSI: A Hybrid Deep Model for Fake News Detection (NR, SS, YL0), pp. 797–806.
CIKM-2017-PangXCZ #category theory #detection #learning: Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data (GP, HX, LC, WZ), pp. 807–816.
CIKM-2017-ZhuAMZH #detection: Outlier Detection in Sparse Data with Factorization Machines (MZ, CCA, SM0, HZ, JH), pp. 817–826.
CIKM-2017-TengLW #detection #learning #multi #network #using: Anomaly Detection in Dynamic Networks using Multi-view Time-Series Hypersphere Learning (XT, YRL, XW), pp. 827–836.
CIKM-2017-WuSZ #approach #behaviour #detection #modelling #performance: A Fast Trajectory Outlier Detection Approach via Driving Behavior Modeling (HW0, WS, BZ), pp. 837–846.
CIKM-2017-ZhangCYL #community #detection #enterprise #learning #named: BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion (JZ, LC, PSY, YL), pp. 859–868.
CIKM-2017-HoangL #clustering #mining #network #performance: Highly Efficient Mining of Overlapping Clusters in Signed Weighted Networks (TAH, EPL), pp. 869–878.
CIKM-2017-RuchanskyBGGK #problem: To Be Connected, or Not to Be Connected: That is the Minimum Inefficiency Subgraph Problem (NR, FB, DGS, FG, NK), pp. 879–888.
CIKM-2017-WangPLZJ #clustering #graph #named: MGAE: Marginalized Graph Autoencoder for Graph Clustering (CW, SP, GL, XZ, JJ0), pp. 889–898.
CIKM-2017-VasiloudisBM #distributed #named #streaming: BoostVHT: Boosting Distributed Streaming Decision Trees (TV, FB, GDFM), pp. 899–908.
CIKM-2017-DuffieldXXAY #order: Stream Aggregation Through Order Sampling (NGD, YX, LX, NKA, MY), pp. 909–918.
CIKM-2017-HaqueWCDKH #classification #multi #named #online: FUSION: An Online Method for Multistream Classification (AH, ZW, SC, BD, LK, KWH), pp. 919–928.
CIKM-2017-HuWC #evolution #maintenance #set: Maintaining Densest Subsets Efficiently in Evolving Hypergraphs (SH, XW, THHC), pp. 929–938.
CIKM-2017-WangCHLSY #matrix #predict: Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services (YW, JC, LH0, WL, LS, PSY), pp. 939–947.
CIKM-2017-ShiLC #continuation #estimation #rank: Tensor Rank Estimation and Completion via CP-based Nuclear Norm (QS, HL, YmC), pp. 949–958.
CIKM-2017-KhoaAW #analysis #framework #incremental #maintenance #using: Smart Infrastructure Maintenance Using Incremental Tensor Analysis: Extended Abstract (NLDK, AA, YW), pp. 959–967.
CIKM-2017-DasUMT #case study #collaboration #parallel: Collaborative Filtering as a Case-Study for Model Parallelism on Bulk Synchronous Systems (AD, IU, XM, AT), pp. 969–977.
CIKM-2017-ShiPW #learning #modelling #student: Modeling Student Learning Styles in MOOCs (YS, ZP, HW), pp. 979–988.
CIKM-2017-ChenLHWCWSH #education #student: Tracking Knowledge Proficiency of Students with Educational Priors (YC, QL0, ZH, LW, EC, RzW, YS0, GH), pp. 989–998.
CIKM-2017-ChenDWXCCM #detection #learning #spreadsheet: Spreadsheet Property Detection With Rule-assisted Active Learning (ZC, SD, RW, GX, DC, MJC, JDM), pp. 999–1008.
CIKM-2017-ZhouZL0 #learning: Learning Knowledge Embeddings by Combining Limit-based Scoring Loss (XZ, QZ, PL, LG0), pp. 1009–1018.
CIKM-2017-HuangYLP #adaptation #classification: Length Adaptive Recurrent Model for Text Classification (ZH, ZY, SL, RP), pp. 1019–1027.
CIKM-2017-TayTPH #graph #multi #network #predict: Multi-Task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs (YT, LAT, MCP, SCH), pp. 1029–1038.
CIKM-2017-ChenSSHGS #adaptation: Movie Fill in the Blank with Adaptive Temporal Attention and Description Update (JC, JS, FS, CH, LG, HTS), pp. 1039–1048.
CIKM-2017-KhandpurJJ0LR #crowdsourcing #detection #social #social media #using: Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media (RPK, TJ, STKJ, GW0, CTL, NR), pp. 1049–1057.
CIKM-2017-Han0SWL #crowdsourcing #information management #scheduling: Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition (TH0, HS0, YS, ZW, XL), pp. 1059–1068.
CIKM-2017-LiBK #crowdsourcing: Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing (JL, YB, HK), pp. 1069–1078.
CIKM-2017-LinYL #design #modelling: Modeling Menu Bundle Designs of Crowdfunding Projects (YL, PY, WCL), pp. 1079–1088.
CIKM-2017-ParmarBBK #online #process #using: Forecasting Ad-Impressions on Online Retail Websites using Non-homogeneous Hawkes Processes (KP, SB, SB, SK), pp. 1089–1098.
CIKM-2017-SongRCZY #ranking: Volume Ranking and Sequential Selection in Programmatic Display Advertising (YS, KR, HC, WZ0, YY0), pp. 1099–1107.
CIKM-2017-YanLWLZJZ #behaviour #on the #video: On Migratory Behavior in Video Consumption (HY, THL, GW0, YL0, HZ0, DJ, BYZ), pp. 1109–1118.
CIKM-2017-LiGBC #approach #correlation #modelling #named #online #process: FM-Hawkes: A Hawkes Process Based Approach for Modeling Online Activity Correlations (SL, XG, WB, GC), pp. 1119–1128.
CIKM-2017-ZohrevandGTSSS #framework #learning: Deep Learning Based Forecasting of Critical Infrastructure Data (ZZ, UG, MAT, HYS, MS, AYS), pp. 1129–1138.
CIKM-2017-LeeSM #collaboration: Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information (WL, KS, ICM), pp. 1139–1148.
CIKM-2017-CaoSCOC #comprehension #named #predict: DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades (QC, HS, KC, WO, XC), pp. 1149–1158.
CIKM-2017-HuLSLL0Z #approach #information management #named #probability #segmentation: CNN-IETS: A CNN-based Probabilistic Approach for Information Extraction by Text Segmentation (MH, ZL, YS, AL0, GL0, KZ0, LZ0), pp. 1159–1168.
CIKM-2017-LiuH #adaptation #framework #multi #personalisation #predict: A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection (ZL, MH), pp. 1169–1177.
CIKM-2017-KimCCJY #difference #named: DiagTree: Diagnostic Tree for Differential Diagnosis (YK, JC, YC, XJ, HY), pp. 1179–1188.
CIKM-2017-Ni0ZYM #fine-grained #learning #metric #similarity #using: Fine-grained Patient Similarity Measuring using Deep Metric Learning (JN, JL0, CZ, DY, ZM), pp. 1189–1198.
CIKM-2017-NguyenH #analysis: Differentially Private Regression for Discrete-Time Survival Analysis (TTN, SCH), pp. 1199–1208.
CIKM-2017-WangGLZJ #physics #privacy: From Fingerprint to Footprint: Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs (HW, CG, YL0, ZLZ, DJ), pp. 1209–1218.
CIKM-2017-LyuHLP #collaboration #learning #privacy #process #recognition: Privacy-Preserving Collaborative Deep Learning with Application to Human Activity Recognition (LL, XH, YWL, MP), pp. 1219–1228.
CIKM-2017-Mondal0L #distributed #email #privacy #profiling: Privacy Aware Temporal Profiling of Emails in Distributed Setup (SM, MS0, SL), pp. 1229–1238.
CIKM-2017-ZhangH #ambiguity #graph #network #using: Name Disambiguation in Anonymized Graphs using Network Embedding (BZ, MAH), pp. 1239–1248.
CIKM-2017-DongSWGZ #interactive #modelling #predict #social: Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction (RD, YS, LW0, YG, YZ), pp. 1249–1258.
CIKM-2017-FanZYLZ #automation #case study #detection #social #social media #twitter: Social Media for Opioid Addiction Epidemiology: Automatic Detection of Opioid Addicts from Twitter and Case Studies (YF, YZ, YY, XL, WZ), pp. 1259–1267.
CIKM-2017-WangDYT #comprehension #mobile #network #predict #social: Understanding and Predicting Weight Loss with Mobile Social Networking Data (ZW, TD, DY, JT), pp. 1269–1278.
CIKM-2017-ChongL #twitter: Tweet Geolocation: Leveraging Location, User and Peer Signals (WHC, EPL), pp. 1279–1288.
CIKM-2017-Liu0MLLM #learning: A Two-step Information Accumulation Strategy for Learning from Highly Imbalanced Data (BL, MZ0, WM, XL0, YL, SM), pp. 1289–1298.
CIKM-2017-YanCYL #comprehension #database #performance #web: Understanding Database Performance Inefficiencies in Real-world Web Applications (CY, AC, JY, SL), pp. 1299–1308.
CIKM-2017-VuCKTXYYZ #data-driven #energy #optimisation: Data Driven Chiller Plant Energy Optimization with Domain Knowledge (HDV, KSC, BK, NT, BX, KY, XY, ZZ), pp. 1309–1317.
CIKM-2017-Gollapudi0PP #clustering #online #order: Partitioning Orders in Online Shopping Services (SG, RK0, DP, RP), pp. 1319–1328.
CIKM-2017-GuptaLHA #induction #sequence #taxonomy #using: Taxonomy Induction Using Hypernym Subsequences (AG, RL, HH, KA), pp. 1329–1338.
CIKM-2017-KrishnanSZ0 #categorisation #concept #documentation: Unsupervised Concept Categorization and Extraction from Scientific Document Titles (AK, AS, SZ, JH0), pp. 1339–1348.
CIKM-2017-ZhangCLG0X #multi #named: MIKE: Keyphrase Extraction by Integrating Multidimensional Information (YZ, YC, XL, SDG, XL0, CX), pp. 1349–1358.
CIKM-2017-TangHLTWYZ #documentation #named: QALink: Enriching Text Documents with Relevant Q&A Site Contents (YT, WH, QL, AKHT, XW, JY, BZ), pp. 1359–1368.
CIKM-2017-ZhengWWYJ #generative #memory management #modelling #sequence: Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory (YZ, LW, JW0, JY0, LJ), pp. 1369–1378.
CIKM-2017-QianPS #learning #scalability: Active Learning for Large-Scale Entity Resolution (KQ0, LP0, PS), pp. 1379–1388.
CIKM-2017-LeL #performance #personalisation #ranking #recommendation: Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation (DDL, HWL), pp. 1389–1398.
CIKM-2017-GroverAV #latency #query #reduction: Latency Reduction via Decision Tree Based Query Construction (AG, DA, GV), pp. 1399–1407.
CIKM-2017-ZhuZHWZZY #collaboration #learning #multi #recommendation: Broad Learning based Multi-Source Collaborative Recommendation (JZ, JZ, LH0, QW, BZ0, CZ, PSY), pp. 1409–1418.
CIKM-2017-LiRCRLM #recommendation: Neural Attentive Session-based Recommendation (JL, PR, ZC, ZR, TL, JM0), pp. 1419–1428.
CIKM-2017-ManotumruksaMO #collaboration #framework #recommendation: A Deep Recurrent Collaborative Filtering Framework for Venue Recommendation (JM, CM, IO), pp. 1429–1438.
CIKM-2017-Christakopoulou #capacity #constraints #recommendation: Recommendation with Capacity Constraints (KC, JK, AB), pp. 1439–1448.
CIKM-2017-ZhangACC #learning #recommendation #representation: Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources (YZ, QA, XC, WBC), pp. 1449–1458.
CIKM-2017-PeiYSZBT #network #recommendation: Interacting Attention-gated Recurrent Networks for Recommendation (WP, JY0, ZS, JZ0, AB, DMJT), pp. 1459–1468.
CIKM-2017-ManotumruksaMO17a #framework #multi #personalisation #ranking #recommendation: A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation (JM, CM, IO), pp. 1469–1478.
CIKM-2017-DingZLTCZ #named #network #personalisation #ranking #recommendation: BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network (DD, MZ0, SYL, JT0, XC, ZHZ), pp. 1479–1488.
CIKM-2017-Jiang0ZWZ #composition #modelling #topic: A Topic Model Based on Poisson Decomposition (HJ, RZ0, LZ, HW0, YZ), pp. 1489–1498.
CIKM-2017-WangLM #composition #semantics: A Matrix-Vector Recurrent Unit Model for Capturing Compositional Semantics in Phrase Embeddings (RW, WL0, CM), pp. 1499–1507.
CIKM-2017-AzarbonyadDBAMK #semantics #word: Words are Malleable: Computing Semantic Shifts in Political and Media Discourse (HA, MD0, KB, AA, MM, JK), pp. 1509–1518.
CIKM-2017-SinghMTSW #architecture #automation: A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation (GS, IJM, JT, JST, BCW), pp. 1519–1528.
CIKM-2017-YuanLLZ #crowdsourcing #platform: Sybil Defense in Crowdsourcing Platforms (DY, GL0, QL0, YZ), pp. 1529–1538.
CIKM-2017-LiuHF #detection #named: HoloScope: Topology-and-Spike Aware Fraud Detection (SL, BH, CF), pp. 1539–1548.
CIKM-2017-AnindyaRKM #constraints #distributed: Building a Dossier on the Cheap: Integrating Distributed Personal Data Resources Under Cost Constraints (ICA, HR, MK, BAM), pp. 1549–1558.
CIKM-2017-LiHPG #detection #framework #machine learning #named: DeMalC: A Feature-rich Machine Learning Framework for Malicious Call Detection (YL, DH, AP, ZG), pp. 1559–1567.
CIKM-2017-ZehlikeB0HMB #algorithm #ranking: FA*IR: A Fair Top-k Ranking Algorithm (MZ, FB, CC0, SH, MM, RBY), pp. 1569–1578.
CIKM-2017-ZhengWGNOY #modelling: Capturing Feature-Level Irregularity in Disease Progression Modeling (KZ, WW0, JG, KYN, BCO, JWLY), pp. 1579–1588.
CIKM-2017-HalderKS #concurrent #health #recommendation #thread #topic #using: Health Forum Thread Recommendation Using an Interest Aware Topic Model (KH, MYK, KS), pp. 1589–1598.
CIKM-2017-ChenXLDTCP #framework #named #network: HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks (LC, XX, SL, SD, AGT, SC, BAP), pp. 1599–1607.
CIKM-2017-DhakadDBDKM #named #process #using: SOPER: Discovering the Influence of Fashion and the Many Faces of User from Session Logs using Stick Breaking Process (LD, MKD, CB, SD, MK, VM), pp. 1609–1618.
CIKM-2017-ZhengSWH #generative #identification #keyword #twitter: Semi-Supervised Event-related Tweet Identification with Dynamic Keyword Generation (XZ, AS, SW0, JH), pp. 1619–1628.
CIKM-2017-WangSLSZ0 #network: Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks (CW, YS, HL, YS, MZ0, JH0), pp. 1629–1638.
CIKM-2017-An0WY #analysis #clustering #feature model: Unsupervised Feature Selection with Joint Clustering Analysis (SA, JW0, JW, ZY), pp. 1639–1648.
CIKM-2017-BrayteeLCK #correlation #feature model #multi #using: Multi-Label Feature Selection using Correlation Information (AB, WL0, DRC, PJK), pp. 1649–1656.
CIKM-2017-LiTZYW #learning #recommendation #representation: Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation (YL, GT, WZ0, YY0, JW0), pp. 1657–1665.
CIKM-2017-PhanSTHL #ambiguity #named #semantics: NeuPL: Attention-based Semantic Matching and Pair-Linking for Entity Disambiguation (MCP, AS, YT, JH, CL), pp. 1667–1676.
CIKM-2017-LiCM #graph #pattern matching: Relaxing Graph Pattern Matching With Explanations (JL, YC0, SM0), pp. 1677–1686.
CIKM-2017-MalmiGT #approach #network: Active Network Alignment: A Matching-Based Approach (EM, AG, ET), pp. 1687–1696.
CIKM-2017-NamakiWSLG #graph: Discovering Graph Temporal Association Rules (MHN, YW, QS, PL, TG), pp. 1697–1706.
CIKM-2017-GolshanT: Minimizing Tension in Teams (BG, ET), pp. 1707–1715.
CIKM-2017-SunX0L #interactive #keyword #query #semantics: Interactive Spatial Keyword Querying with Semantics (JS, JX, KZ0, CL), pp. 1727–1736.
CIKM-2017-Ha-ThucYWDGS #approach: From Query-By-Keyword to Query-By-Example: LinkedIn Talent Search Approach (VHT, YY, XW, VD, AG, SS), pp. 1737–1745.
CIKM-2017-DehghaniRAF #learning #query: Learning to Attend, Copy, and Generate for Session-Based Query Suggestion (MD0, SR, EA, PF), pp. 1747–1756.
CIKM-2017-LiaoSSLGL #ambiguity #modelling #query #web: Deep Context Modeling for Web Query Entity Disambiguation (ZL, XS, YS, SL, JG, CL), pp. 1757–1765.
CIKM-2017-QuTSR00 #collaboration #framework #learning #multi #network #representation: An Attention-based Collaboration Framework for Multi-View Network Representation Learning (MQ, JT0, JS, XR, MZ0, JH0), pp. 1767–1776.
CIKM-2017-TanZW #graph #learning #representation #scalability: Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations (ZT, XZ0, WW0), pp. 1777–1786.
CIKM-2017-Abu-El-HaijaPA #learning #rank #symmetry: Learning Edge Representations via Low-Rank Asymmetric Projections (SAEH, BP, RAR), pp. 1787–1796.
CIKM-2017-FuLL #learning #named #network #representation: HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning (TYF, WCL, ZL), pp. 1797–1806.
CIKM-2017-GalimbertiBG #composition #multi #network: Core Decomposition and Densest Subgraph in Multilayer Networks (EG, FB, FG), pp. 1807–1816.
CIKM-2017-NasirGMG #algorithm: Fully Dynamic Algorithm for Top-k Densest Subgraphs (MAUN, AG, GDFM, SG), pp. 1817–1826.
CIKM-2017-RongC #dependence #graph: Minimizing Dependence between Graphs (YR, HC), pp. 1827–1836.
CIKM-2017-GhalwashLZH #health: Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results (MFG, YL, PZ0, JH), pp. 1837–1846.
CIKM-2017-BaskaranKCGS #dependence #functional #ontology #performance: Efficient Discovery of Ontology Functional Dependencies (SB, AK0, FC, LG, JS), pp. 1847–1856.
CIKM-2017-XieCLZXTWW #automation #clustering #generative: Automatic Navbox Generation by Interpretable Clustering over Linked Entities (CX, LC, JL, KZ, YX, HT, HW, WW0), pp. 1857–1865.
CIKM-2017-PonzaFC #framework #wiki: A Two-Stage Framework for Computing Entity Relatedness in Wikipedia (MP, PF, SC), pp. 1867–1876.
CIKM-2017-HeWJ #category theory #modelling #relational #topic: Incorporating the Latent Link Categories in Relational Topic Modeling (YH, CW, CJ), pp. 1877–1886.
CIKM-2017-YinLXN #online: Tone Analyzer for Online Customer Service: An Unsupervised Model with Interfered Training (PY, ZL, AX, TN), pp. 1887–1895.
CIKM-2017-YeHHCLQS #classification #using: Nationality Classification Using Name Embeddings (JY, SH, YH, BC, ML, HQ, SS), pp. 1897–1906.
CIKM-2017-JinZ #modelling #network #social: Emotions in Social Networks: Distributions, Patterns, and Models (SJ, RZ), pp. 1907–1916.
CIKM-2017-ZhuangLZF #human-computer #hybrid #knowledge base #named #scalability: Hike: A Hybrid Human-Machine Method for Entity Alignment in Large-Scale Knowledge Bases (YZ, GL0, ZZ, JF), pp. 1917–1926.
CIKM-2017-WuWHS #optimisation #recommendation: Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems (QW, HW, LH, YS), pp. 1927–1936.
CIKM-2017-ZhangYEALL #analysis #predict #social: Predicting Startup Crowdfunding Success through Longitudinal Social Engagement Analysis (QZ, TY, ME, SA0, VL, BTL), pp. 1937–1946.
CIKM-2017-GuptaLR #email #optimisation: Optimizing Email Volume For Sitewide Engagement (RG, GL, RR), pp. 1947–1955.
CIKM-2017-ZhuangDT #behaviour #comprehension: Understanding Engagement through Search Behaviour (MZ, GD, EGT), pp. 1957–1966.
CIKM-2017-AnGJLT #metadata #sequence: Citation Metadata Extraction via Deep Neural Network-based Segment Sequence Labeling (DA, LG, ZJ, RL, ZT), pp. 1967–1970.
CIKM-2017-AnwarNH #approach #community #novel #performance: A Novel Approach for Efficient Computation of Community Aware Ridesharing Groups (SA, SN, TH), pp. 1971–1974.
CIKM-2017-AroraAGP #comparative: Extracting Entities of Interest from Comparative Product Reviews (JA0, SA, PG, SP), pp. 1975–1978.
CIKM-2017-BaiWZZ #collaboration: A Neural Collaborative Filtering Model with Interaction-based Neighborhood (TB, JRW, JZ, WXZ), pp. 1979–1982.
CIKM-2017-Berti-EquilleZ #data analysis #pipes and filters #profiling: Profiling DRDoS Attacks with Data Analytics Pipeline (LBÉ, YZ), pp. 1983–1986.
CIKM-2017-Bian0YCL: A Compare-Aggregate Model with Dynamic-Clip Attention for Answer Selection (WB, SL0, ZY, GC, ZL), pp. 1987–1990.
CIKM-2017-BouadjenekVZ #biology #learning #sequence #using: Learning Biological Sequence Types Using the Literature (MRB, KV, JZ), pp. 1991–1994.
CIKM-2017-CaiLZ #behaviour #detection #modelling #social: Detecting Social Bots by Jointly Modeling Deep Behavior and Content Information (CC, LL, DZ), pp. 1995–1998.
CIKM-2017-CaoZL #approach #approximate #distributed #effectiveness #graph #mining #named #scalability: PMS: an Effective Approximation Approach for Distributed Large-scale Graph Data Processing and Mining (YC, YZ, JL), pp. 1999–2002.
CIKM-2017-ChaGK #assessment #clustering #modelling #readability #word: Language Modeling by Clustering with Word Embeddings for Text Readability Assessment (MC, YG, HTK), pp. 2003–2006.
CIKM-2017-ChaiLTS #learning #multi: Compact Multiple-Instance Learning (JC, WL0, IWT, XBS), pp. 2007–2010.
CIKM-2017-ChaoCYWT #ranking: Text Embedding for Sub-Entity Ranking from User Reviews (CYC, YFC, HWY, CJW, MFT), pp. 2011–2014.
CIKM-2017-ChavaryEL #mining #network #using: Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining (EAC, SME, CL), pp. 2015–2018.
CIKM-2017-ChenWL #modelling: Modeling Opinion Influence with User Dual Identity (CC, ZW, WL0), pp. 2019–2022.
CIKM-2017-ChenAS #analysis #bias #empirical #performance: An Empirical Analysis of Pruning Techniques: Performance, Retrievability and Bias (RCC, LA, FS), pp. 2023–2026.
CIKM-2017-CuiLZZ #analysis #network: Text Coherence Analysis Based on Deep Neural Network (BC, YL, YZ, ZZ), pp. 2027–2030.
CIKM-2017-DangCWZC #classification #kernel #learning: Unsupervised Matrix-valued Kernel Learning For One Class Classification (SD, XC, YW0, JZ, FC0), pp. 2031–2034.
CIKM-2017-NobariRN #analysis: Analysis of Telegram, An Instant Messaging Service (ADN, NR, MN), pp. 2035–2038.
CIKM-2017-DasMBS #using #word: Estimating Event Focus Time Using Neural Word Embeddings (SD, AM, KB, VS), pp. 2039–2042.
CIKM-2017-DengCFNY #assessment #image #personalisation: Personalized Image Aesthetics Assessment (XD, CC, HF, XN, YY), pp. 2043–2046.
CIKM-2017-DingLHM #fault tolerance #performance #recommendation #using: Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core (DD, HL, ZH0, NM), pp. 2047–2050.
CIKM-2017-Duong-TrungS #concept #documentation #on the #topic: On Discovering the Number of Document Topics via Conceptual Latent Space (NDT, LST), pp. 2051–2054.
CIKM-2017-EX #recognition: Chinese Named Entity Recognition with Character-Word Mixed Embedding (SE, YX), pp. 2055–2058.
CIKM-2017-EnsanBZK #empirical #learning #rank: An Empirical Study of Embedding Features in Learning to Rank (FE, EB, AZ, AK), pp. 2059–2062.
CIKM-2017-EslamiBRW #online #privacy: Privacy of Hidden Profiles: Utility-Preserving Profile Removal in Online Forums (SE, AJB, RSR, GW), pp. 2063–2066.
CIKM-2017-FangYMG #network #scheduling: QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks (ZF, TY, OJM, RKG0), pp. 2067–2070.
CIKM-2017-FourneyRRMH #roadmap: Geographic and Temporal Trends in Fake News Consumption During the 2016 US Presidential Election (AF, MZR, GR, MM, EH), pp. 2071–2074.
CIKM-2017-GarciaM #energy #network #using: Inferring Appliance Energy Usage from Smart Meters using Fully Convolutional Encoder Decoder Networks (FCCG, EQBM), pp. 2075–2078.
CIKM-2017-GaurBB #graph #query #using: Tracking the Impact of Fact Deletions on Knowledge Graph Queries using Provenance Polynomials (GG, SJB, AB0), pp. 2079–2082.
CIKM-2017-GuZZ #clustering #data transformation #distance #self: An Euclidean Distance based on the Weighted Self-information Related Data Transformation for Nominal Data Clustering (LG, LZ, YZ), pp. 2083–2086.
CIKM-2017-Gupta0M #network #personalisation #ranking: Interest Diffusion in Heterogeneous Information Network for Personalized Item Ranking (MG, PK0, RM), pp. 2087–2090.
CIKM-2017-HagenPAFS #detection #retrieval #reuse: Source Retrieval for Web-Scale Text Reuse Detection (MH, MP, PA, EF, BS0), pp. 2091–2094.
CIKM-2017-HansenHAL #predict: Smart City Analytics: Ensemble-Learned Prediction of Citizen Home Care (CH, CH0, SA, CL), pp. 2095–2098.
CIKM-2017-HuWBZC #clustering #performance #scalability: Fast K-means for Large Scale Clustering (QH, JW, LB0, YZ0, JC0), pp. 2099–2102.
CIKM-2017-HuPJL #classification #graph #network: Graph Ladder Networks for Network Classification (RH, SP, JJ0, GL), pp. 2103–2106.
CIKM-2017-HuHQ #algorithm #communication #parallel #parametricity #performance: A Communication Efficient Parallel DBSCAN Algorithm based on Parameter Server (XH, JH0, MQ), pp. 2107–2110.
CIKM-2017-HuangZLLZH #graph #identification #named: KIEM: A Knowledge Graph based Method to Identify Entity Morphs (LH, LZ, SL, FL, YZ, SH), pp. 2111–2114.
CIKM-2017-HuangCXCZ0 #graph #ontology #perspective #visualisation: Ontology-based Graph Visualization for Summarized View (XH0, BC, JX, WKC, YZ, JL0), pp. 2115–2118.
CIKM-2017-HuangPLLMC #learning #predict: An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers (ZH, ZP, QL0, BL, HM, EC), pp. 2119–2122.
CIKM-2017-KangJCBK #execution #framework: A Framework for Estimating Execution Times of IO Traces on SSDs (YK, YYJ, JC, WDB, SWK), pp. 2123–2126.
CIKM-2017-KawasakiKS #mobile #ranking: Ranking Rich Mobile Verticals based on Clicks and Abandonment (MK, IK, TS), pp. 2127–2130.
CIKM-2017-KharlamovSXPMRH #execution #semantics: Semantic Rules for Machine Diagnostics: Execution and Management (EK, OS, GX0, RP, GM, MR, IH), pp. 2131–2134.
CIKM-2017-KimPP #machine learning #modelling #performance: Machine Learning based Performance Modeling of Flash SSDs (JK, JP, SP), pp. 2135–2138.
CIKM-2017-KwonKS #recognition #robust #using: A Robust Named-Entity Recognition System Using Syllable Bigram Embedding with Eojeol Prefix Information (SK, YK, JS), pp. 2139–2142.
CIKM-2017-LeeL #collaboration #named: IDAE: Imputation-boosted Denoising Autoencoder for Collaborative Filtering (JwL, JL), pp. 2143–2146.
CIKM-2017-LeeK: Computing Betweenness Centrality in B-hypergraphs (KHL, MHK), pp. 2147–2150.
CIKM-2017-LeeYHC #metric #ontology #semantics #word: Structural-fitting Word Vectors to Linguistic Ontology for Semantic Relatedness Measurement (YYL, TYY, HHH, HHC), pp. 2151–2154.
CIKM-2017-LeiLLZ #learning #personalisation #ranking: Alternating Pointwise-Pairwise Learning for Personalized Item Ranking (YL, WL0, ZL, MZ), pp. 2155–2158.
CIKM-2017-LiGX #image #multi #retrieval: Deep Multi-Similarity Hashing for Multi-label Image Retrieval (TL, SG, YX), pp. 2159–2162.
CIKM-2017-LiCY #graph #learning #recommendation: Learning Graph-based Embedding For Time-Aware Product Recommendation (YL, WC, HY), pp. 2163–2166.
CIKM-2017-LinMZ #approach #identification #modelling #multi #topic: An Enhanced Topic Modeling Approach to Multiple Stance Identification (JL, WM, YZ), pp. 2167–2170.
CIKM-2017-LiuJXTLN #database #named: TICC: Transparent Inter-Column Compression for Column-Oriented Database Systems (HL0, YJ, JX, HT, QL0, LMN), pp. 2171–2174.
CIKM-2017-LiuL #behaviour #effectiveness: Exploiting User Consuming Behavior for Effective Item Tagging (SL, HL), pp. 2175–2178.
CIKM-2017-LuoHCYK #named #query: SEQ: Example-based Query for Spatial Objects (SL, JH, RC, JY, BK), pp. 2179–2182.
CIKM-2017-LyuOSC: Truth Discovery by Claim and Source Embedding (SL, WO, HS, XC), pp. 2183–2186.
CIKM-2017-MandalGPG #automation #documentation #identification: Automatic Catchphrase Identification from Legal Court Case Documents (AM, KG, AP0, SG0), pp. 2187–2190.
CIKM-2017-MansouriZRO0 #ambiguity #learning #query #web: Learning Temporal Ambiguity in Web Search Queries (BM, MSZ, MR, FO, RC0), pp. 2191–2194.
CIKM-2017-MarkovBR #modelling #online: Online Expectation-Maximization for Click Models (IM, AB, MdR), pp. 2195–2198.
CIKM-2017-MehrotraY #learning #query #using: Task Embeddings: Learning Query Embeddings using Task Context (RM, EY), pp. 2199–2202.
CIKM-2017-MengMJ #detection: Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection (ZM, LM, ZJ), pp. 2203–2206.
CIKM-2017-MenonL #predict #process: Predicting Short-Term Public Transport Demand via Inhomogeneous Poisson Processes (AKM, YL), pp. 2207–2210.
CIKM-2017-MeuschkeSHSG #detection: Analyzing Mathematical Content to Detect Academic Plagiarism (NM, MS, FH, TS, BG), pp. 2211–2214.
CIKM-2017-Moon0S #graph #learning: Learning Entity Type Embeddings for Knowledge Graph Completion (CM, PJ0, NFS), pp. 2215–2218.
CIKM-2017-MumtazW #identification #network: Identifying Top-K Influential Nodes in Networks (SM, XW), pp. 2219–2222.
CIKM-2017-NayeemC #generative #multi: Paraphrastic Fusion for Abstractive Multi-Sentence Compression Generation (MTN, YC), pp. 2223–2226.
CIKM-2017-NguyenTW #ambiguity #named: J-REED: Joint Relation Extraction and Entity Disambiguation (DBN, MT, GW), pp. 2227–2230.
CIKM-2017-NguyenL #collaboration #community #topic: Collaborative Topic Regression with Denoising AutoEncoder for Content and Community Co-Representation (TTN, HWL), pp. 2231–2234.
CIKM-2017-NicosiaM #hybrid #network: Accurate Sentence Matching with Hybrid Siamese Networks (MN, AM), pp. 2235–2238.
CIKM-2017-NiuZ #collaboration #predict #recommendation #sequence: Collaborative Sequence Prediction for Sequential Recommender (SN, RZ), pp. 2239–2242.
CIKM-2017-OsickaT #composition #concept #matrix: Boolean Matrix Decomposition by Formal Concept Sampling (PO, MT), pp. 2243–2246.
CIKM-2017-PalU #correlation #graph: Enhancing Knowledge Graph Completion By Embedding Correlations (SP, JU), pp. 2247–2250.
CIKM-2017-PangCWL #analysis #recognition #robust: Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition (MP, YmC, BW, RL), pp. 2251–2254.
CIKM-2017-ParkLC #network #recommendation: Deep Neural Networks for News Recommendations (KP, JL, JC), pp. 2255–2258.
CIKM-2017-PatwariGB #classification #detection #multi #named: TATHYA: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates (AP, DG, SB), pp. 2259–2262.
CIKM-2017-RafailidisC #collaboration #ranking #recommendation: A Collaborative Ranking Model for Cross-Domain Recommendations (DR, FC), pp. 2263–2266.
CIKM-2017-RoyGGG #microblog #word: Combining Local and Global Word Embeddings for Microblog Stemming (AR, TG, KG, SG0), pp. 2267–2270.
CIKM-2017-Roy #recommendation: An Improved Test Collection and Baselines for Bibliographic Citation Recommendation (DR), pp. 2271–2274.
CIKM-2017-SalahAN #clustering #documentation: A Way to Boost Semi-NMF for Document Clustering (AS, MA, MN), pp. 2275–2278.
CIKM-2017-SanjoK #predict #semantics: Recipe Popularity Prediction with Deep Visual-Semantic Fusion (SS, MK), pp. 2279–2282.
CIKM-2017-SaravanouKVKG #network: Revealing the Hidden Links in Content Networks: An Application to Event Discovery (AS, IK, GV, VK, DG), pp. 2283–2286.
CIKM-2017-SathanurCJP #graph #network #simulation: When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes (AVS, SC, CAJ, SP), pp. 2287–2290.
CIKM-2017-ScellsZKDAG #retrieval: Integrating the Framing of Clinical Questions via PICO into the Retrieval of Medical Literature for Systematic Reviews (HS, GZ, BK, AD, LA, SG), pp. 2291–2294.
CIKM-2017-SeoK #algorithm #clustering #graph #named #performance #scalability: pm-SCAN: an I/O Efficient Structural Clustering Algorithm for Large-scale Graphs (JHS, MHK), pp. 2295–2298.
CIKM-2017-ShiGQZ #graph: Knowledge Graph Embedding with Triple Context (JS, HG, GQ, ZZ), pp. 2299–2302.
CIKM-2017-Singh0V #hybrid #summary: Hybrid MemNet for Extractive Summarization (AKS, MG0, VV), pp. 2303–2306.
CIKM-2017-SoldainiYG #retrieval: Denoising Clinical Notes for Medical Literature Retrieval with Convolutional Neural Model (LS, AY, NG), pp. 2307–2310.
CIKM-2017-SongYL #algorithm #multi #set: SIMD-Based Multiple Sets Intersection with Dual-Scale Search Algorithm (XS, YY, XL), pp. 2311–2314.
CIKM-2017-SrivastavaD #graph #retrieval #semantics #similarity: Soft Seeded SSL Graphs for Unsupervised Semantic Similarity-based Retrieval (AS, MD), pp. 2315–2318.
CIKM-2017-Stanojevic #how #question: How Safe is Your (Taxi) Driver? (RS), pp. 2319–2322.
CIKM-2017-TanKMH #overview #retrieval #sentiment #summary #topic: Sentence Retrieval with Sentiment-specific Topical Anchoring for Review Summarization (JT, AK, RPM, YH), pp. 2323–2326.
CIKM-2017-TianC #interactive #network #visualisation: Visualizing Deep Neural Networks with Interaction of Super-pixels (ST, YC), pp. 2327–2330.
CIKM-2017-UedaYK #algorithm #twitter: Collecting Non-Geotagged Local Tweets via Bandit Algorithms (SU, YY, HK), pp. 2331–2334.
CIKM-2017-VeysehEDL #classification: A Temporal Attentional Model for Rumor Stance Classification (APBV, JE, DD, DL), pp. 2335–2338.
CIKM-2017-WangFTH #behaviour #modelling #recommendation #topic #visual notation: Improving the Gain of Visual Perceptual Behaviour on Topic Modeling for Text Recommendation (CW, YF, ZT, YH), pp. 2339–2342.
CIKM-2017-WangQPZX #graph #semantics: Semantic Annotation for Places in LBSN through Graph Embedding (YW, ZQ, JP0, YZ0, JX), pp. 2343–2346.
CIKM-2017-WangSSZ #case study: A Study of Feature Construction for Text-based Forecasting of Time Series Variables (YW, DS, SKKS, CZ), pp. 2347–2350.
CIKM-2017-WangCL #graph #twitter #using: Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter (YW, MJC, YFL), pp. 2351–2354.
CIKM-2017-WangXYZ0Z #comprehension: Integrating Side Information for Boosting Machine Comprehension (YW, YX, MY0, ZZ, JX0, YZ), pp. 2355–2358.
CIKM-2017-WeiCY #feature model: Unsupervised Feature Selection with Heterogeneous Side Information (XW, BC, PSY), pp. 2359–2362.
CIKM-2017-Whang #algorithm #community #empirical: An Empirical Study of Community Overlap: Ground-truth, Algorithmic Solutions, and Implications (JJW), pp. 2363–2366.
CIKM-2017-WhangD #clustering: Non-Exhaustive, Overlapping Co-Clustering (JJW, ISD), pp. 2367–2370.
CIKM-2017-WhiteO #simulation: Simulating Zero-Resource Spoken Term Discovery (JW, DWO), pp. 2371–2374.
CIKM-2017-WilkieA #algorithm #bias #documentation #question: Algorithmic Bias: Do Good Systems Make Relevant Documents More Retrievable? (CW, LA), pp. 2375–2378.
CIKM-2017-WuY #e-commerce #recommendation: Session-aware Information Embedding for E-commerce Product Recommendation (CW, MY), pp. 2379–2382.
CIKM-2017-WuUBG #detection #network: Conflict of Interest Declaration and Detection System in Heterogeneous Networks (SW, LHU, SSB, WG), pp. 2383–2386.
CIKM-2017-XiangJ #learning #multimodal #network: Common-Specific Multimodal Learning for Deep Belief Network (CX, XJ), pp. 2387–2390.
CIKM-2017-XiongLCH #documentation #named #query #ranking: JointSem: Combining Query Entity Linking and Entity based Document Ranking (CX, ZL0, JC, EHH), pp. 2391–2394.
CIKM-2017-XuLLX #learning #rank: Learning to Rank with Query-level Semi-supervised Autoencoders (BX0, HL, YL0, KX), pp. 2395–2398.
CIKM-2017-XuM #analysis #multimodal #named #network #semantics #sentiment: MultiSentiNet: A Deep Semantic Network for Multimodal Sentiment Analysis (NX, WM), pp. 2399–2402.
CIKM-2017-XuWXQ #classification #graph #network #recursion: Attentive Graph-based Recursive Neural Network for Collective Vertex Classification (QX, QW, CX, LQ), pp. 2403–2406.
CIKM-2017-Yang17a #matrix #predict: Bayesian Heteroscedastic Matrix Factorization for Conversion Rate Prediction (HY), pp. 2407–2410.
CIKM-2017-YaoZHB #named #predict #semantics: SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories (DY, CZ, JHH, JB), pp. 2411–2414.
CIKM-2017-YuCY #algebra #finite #matrix #rank #recommendation: Low-Rank Matrix Completion over Finite Abelian Group Algebras for Context-Aware Recommendation (CAY, TSC, YHY), pp. 2415–2418.
CIKM-2017-YuanWLL #detection #network: Spectrum-based Deep Neural Networks for Fraud Detection (SY, XW, JL, AL), pp. 2419–2422.
CIKM-2017-ZhangWHCZ #estimation #named #realtime: RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation (YZ, WW0, BH, KMC, YZ), pp. 2423–2426.
CIKM-2017-ZhaoWLL #learning: Missing Value Learning (ZLZ, CDW, KYL, JHL), pp. 2427–2430.
CIKM-2017-ZhengZS #collaboration #multi: Local Ensemble across Multiple Sources for Collaborative Filtering (JZ, FZ, CS), pp. 2431–2434.
CIKM-2017-ZhuRXLYW #classification #clustering #pattern matching #social: Cluster-level Emotion Pattern Matching for Cross-Domain Social Emotion Classification (EZ, YR, HX0, YL, JY0, FLW), pp. 2435–2438.
CIKM-2017-Zhu0SL #generative #knowledge-based: Knowledge-based Question Answering by Jointly Generating, Copying and Paraphrasing (SZ, XC0, SS, SL), pp. 2439–2442.
CIKM-2017-AmsterdamerG #multi #named: PODIUM: Procuring Opinions from Diverse Users in a Multi-Dimensional World (YA, OG0), pp. 2443–2446.
CIKM-2017-ArmanACA #3d #database #named #query #scalability: VizQ: A System for Scalable Processing of Visibility Queries in 3D Spatial Databases (AA, MEA, FMC, KA), pp. 2447–2450.
CIKM-2017-BeheshtiBNCXZ #named: CoreDB: a Data Lake Service (AB, BB, RN, VMC, HX, XZ), pp. 2451–2454.
CIKM-2017-EkronMY #named #semantics: SimMeme: Semantic-Based Meme Search (ME, TM, BY), pp. 2455–2458.
CIKM-2017-FeigenblatBRK #analysis #named #summary: SummIt: A Tool for Extractive Summarization, Discovery and Analysis (GF, OB, HR, DK), pp. 2459–2462.
CIKM-2017-FreitasTCX #agile #analysis #network: Rapid Analysis of Network Connectivity (SF, HT, NC, YX), pp. 2463–2466.
CIKM-2017-HubigPSVK0 #data analysis #named: HyPerInsight: Data Exploration Deep Inside HyPer (NH, LP, MES, DV, AK, TN0), pp. 2467–2470.
CIKM-2017-Jatowt0 #documentation #interactive #reasoning: Interactive System for Reasoning about Document Age (AJ, RC0), pp. 2471–2474.
CIKM-2017-KharlamovGSGKH #named: SemFacet: Making Hard Faceted Search Easier (EK, LG, ES, BCG, EVK, IH), pp. 2475–2478.
CIKM-2017-0001HWN #named: Metacrate: Organize and Analyze Millions of Data Profiles (SK0, DH, MW, FN), pp. 2483–2486.
CIKM-2017-LeL17a #analysis #interactive #named #semantics #topic #visualisation: SemVis: Semantic Visualization for Interactive Topical Analysis (TMVL, HWL), pp. 2487–2490.
CIKM-2017-LeblayCL #online: Exploring the Veracity of Online Claims with BackDrop (JL, WC, SJL), pp. 2491–2494.
CIKM-2017-LiQCWGHRZZWJC #e-commerce #experience: AliMe Assist : An Intelligent Assistant for Creating an Innovative E-commerce Experience (FLL, MQ, HC, XW, XG, JH0, JR, ZZ, WZ, LW, GJ, WC), pp. 2495–2498.
CIKM-2017-LiCHCGPY #detection: Public Transportation Mode Detection from Cellular Data (GL, CJC, SYH, AJC, XG, WCP, CWY), pp. 2499–2502.
CIKM-2017-LiuLZZYH0 #interactive #named #streaming: Urbanity: A System for Interactive Exploration of Urban Dynamics from Streaming Human Sensing Data (ML, ZL, CZ0, KZ, QY0, TH, JH0), pp. 2503–2506.
CIKM-2017-MehdiKSXKBHRR #named #rule-based #semantics: SemDia: Semantic Rule-Based Equipment Diagnostics Tool (GM, EK, OS, GX0, EGK, SB0, IH, MR, TAR), pp. 2507–2510.
CIKM-2017-0001KGR #constraints #learning #named: TaCLe: Learning Constraints in Tabular Data (SP0, SK, TG, LDR), pp. 2511–2514.
CIKM-2017-PersiaBH #detection #framework #interactive #modelling #video: An Interactive Framework for Video Surveillance Event Detection and Modeling (FP, FB, SH), pp. 2515–2518.
CIKM-2017-RemusKBLB #knowledge base #named #personalisation #web: Storyfinder: Personalized Knowledge Base Construction and Management by Browsing the Web (SR, MK, KB, TvL, CB), pp. 2519–2522.
CIKM-2017-Saleem0CXP #named #network #social: IMaxer: A Unified System for Evaluating Influence Maximization in Location-based Social Networks (MAS, RK0, TC, XX, TBP), pp. 2523–2526.
CIKM-2017-ShaikhK #analysis #framework #named: StreamingCube: A Unified Framework for Stream Processing and OLAP Analysis (SAS, HK), pp. 2527–2530.
CIKM-2017-SkopalPKGL #visual notation: Product Exploration based on Latent Visual Attributes (TS, LP, GK, TG, JL), pp. 2531–2534.
CIKM-2017-SuzannaA #classification: Hierarchical Module Classification in Mixed-initiative Conversational Agent System (SXYS, ALL), pp. 2535–2538.
CIKM-2017-VoMMA #data transformation: Blockchain-based Data Management and Analytics for Micro-insurance Applications (HTV, LM, MKM, EA), pp. 2539–2542.
CIKM-2017-WangDCLG #big data #named: CleanCloud: Cleaning Big Data on Cloud (HW, XD, XC, JL, HG), pp. 2543–2546.
CIKM-2017-WeiCCZR #interactive: Interactive Analytics System for Exploring Outliers (MW, LC, CC, HZ, EAR), pp. 2547–2550.
CIKM-2017-XuG #multi #query: Query and Animate Multi-attribute Trajectory Data (JX, RHG), pp. 2551–2554.
CIKM-2017-ZhiSLZ0 #database #named #realtime #using #verification #web: ClaimVerif: A Real-time Claim Verification System Using the Web and Fact Databases (SZ, YS, JL, CZ0, JH0), pp. 2555–2558.
CIKM-2017-ZhongLCWWAF #knowledge base #named #online #probability: POOLSIDE: An Online Probabilistic Knowledge Base for Shopping Decision Support (PZ, ZL, QC, YW, LW, MHMA, FF), pp. 2559–2562.
CIKM-2017-HasanuzzamanDJD #overview: Overview of the 4th HistoInformatics Workshop (MH, GD, AJ, MD, AvdB), pp. 2563–2564.
CIKM-2017-HuJ #data mining #mining #modelling: IDM 2017: Workshop on Interpretable Data Mining - Bridging the Gap between Shallow and Deep Models (XH, SJ), pp. 2565–2566.
CIKM-2017-SinhaHBMMM #social #social media: SMASC 2017: First International Workshop on Social Media Analytics for Smart Cities (MS, XH0, AB, SM, PKM, TM), pp. 2567–2568.
CIKM-2017-Winslett: Additional Workshops Co-located with CIKM 2017 (MW), pp. 2569–2570.