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ORCID25th CIKM 2016: Indianapolis, IN, USA
- Snehasis Mukhopadhyay, ChengXiang Zhai, Elisa Bertino, Fabio Crestani, Javed Mostafa, Jie Tang, Luo Si, Xiaofang Zhou, Yi Chang, Yunyao Li, Parikshit Sondhi:
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016. ACM 2016, ISBN 978-1-4503-4073-1
Keynote Address 1
- Rakesh Agrawal:
Toward Data-Driven Education: CIKM-2016 Keynote. 3
Session 1a: Recommendation
- Xin Wang, Wei Lu, Martin Ester, Can Wang, Chun Chen:
Social Recommendation with Strong and Weak Ties. 5-14 - Min Xie, Hongzhi Yin
, Hao Wang, Fanjiang Xu, Weitong Chen, Sen Wang:
Learning Graph-based POI Embedding for Location-based Recommendation. 15-24 - Xiaoting Wang, Christopher Leckie, Jeffrey Chan, Kwan Hui Lim, Tharshan Vaithianathan:
Improving Personalized Trip Recommendation by Avoiding Crowds. 25-34 - Ignacio Fernández-Tobías, Roi Blanco:
Memory-based Recommendations of Entities for Web Search Users. 35-44
Session 1b: Deep Learning Applications
- Gjergji Kasneci, Thomas Gottron:
LICON: A Linear Weighting Scheme for the Contribution ofInput Variables in Deep Artificial Neural Networks. 45-54 - Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft:
A Deep Relevance Matching Model for Ad-hoc Retrieval. 55-64 - Jiwei Tan, Xiaojun Wan, Jianguo Xiao:
A Neural Network Approach to Quote Recommendation in Writings. 65-74 - Qi Zhang, Yeyun Gong, Jindou Wu, Haoran Huang, Xuanjing Huang:
Retweet Prediction with Attention-based Deep Neural Network. 75-84
Session 1c: Document Classification and Labeling
- Chenliang Li, Jian Xing, Aixin Sun, Zongyang Ma:
Effective Document Labeling with Very Few Seed Words: A Topic Model Approach. 85-94 - Ruochen Xu, Yiming Yang, Hanxiao Liu, Andrew Hsi:
Cross-lingual Text Classification via Model Translation with Limited Dictionaries. 95-104 - Hossein Soleimani, David J. Miller:
Semi-supervised Multi-Label Topic Models for Document Classification and Sentence Labeling. 105-114 - Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Huan Liu:
Linked Document Embedding for Classification. 115-124
Session 1d: Better Queries
- Yuli Liu, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma, Yue Yin, Hengliang Luo:
Detecting Promotion Campaigns in Query Auto Completion. 125-134 - Tuan-Anh Hoang-Vu, Huy T. Vo, Juliana Freire:
A Unified Index for Spatio-Temporal Keyword Queries. 135-144 - Jiaxin Jiang, Peipei Yi, Byron Choi, Zhiwei Zhang, Xiaohui Yu:
Privacy-Preserving Reachability Query Services for Massive Networks. 145-154 - Saeid Balaneshinkordan, Alexander Kotov:
Sequential Query Expansion using Concept Graph. 155-164
Session 1e: Better Search
- Christophe Van Gysel, Maarten de Rijke, Evangelos Kanoulas:
Learning Latent Vector Spaces for Product Search. 165-174 - Aleksandr Chuklin, Maarten de Rijke:
Incorporating Clicks, Attention and Satisfaction into a Search Engine Result Page Evaluation Model. 175-184 - Luca Maria Aiello, Ioannis Arapakis, Ricardo Baeza-Yates, Xiao Bai, Nicola Barbieri, Amin Mantrach, Fabrizio Silvestri:
The Role of Relevance in Sponsored Search. 185-194 - Qin Liu, Zhenguo Li, John C. S. Lui, Jiefeng Cheng:
PowerWalk: Scalable Personalized PageRank via Random Walks with Vertex-Centric Decomposition. 195-204
Session 1f: Industry Session I
- Shivakumar Vaithyanathan:
Building Industry-specific Knowledge Bases. 205-206 - Xiaomo Liu, Quanzhi Li, Armineh Nourbakhsh, Rui Fang, Merine Thomas, Kajsa Anderson, Russ Kociuba, Mark Vedder, Steven Pomerville, Ramdev Wudali, Robert Martin, John Duprey, Arun Vachher, William Keenan, Sameena Shah:
Reuters Tracer: A Large Scale System of Detecting & Verifying Real-Time News Events from Twitter. 207-216 - Noa Avigdor-Elgrabli, Mark Cwalinski, Dotan Di Castro, Iftah Gamzu, Irena Grabovitch-Zuyev, Liane Lewin-Eytan, Yoelle Maarek:
Structural Clustering of Machine-Generated Mail. 217-226
Session 2a: Learning to Rank
- Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang:
LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates. 227-236 - Maksim Tkachenko, Hady Wirawan Lauw:
Plackett-Luce Regression Mixture Model for Heterogeneous Rankings. 237-246 - Rodrigo M. Silva, Guilherme de Castro Mendes Gomes, Mário S. Alvim, Marcos André Gonçalves:
Compression-Based Selective Sampling for Learning to Rank. 247-256 - Daniel Xavier de Sousa, Sérgio Daniel Canuto, Thierson Couto Rosa, Wellington Santos Martins, Marcos André Gonçalves:
Incorporating Risk-Sensitiveness into Feature Selection for Learning to Rank. 257-266
Session 2b: Question Answering
- Laure Soulier, Lynda Tamine, Gia-Hung Nguyen:
Answering Twitter Questions: a Model for Recommending Answerers through Social Collaboration. 267-276 - Pengwei Wang, Lei Ji, Jun Yan, Lianwen Jin, Wei-Ying Ma:
Learning to Extract Conditional Knowledge for Question Answering using Dialogue. 277-286 - Liu Yang, Qingyao Ai, Jiafeng Guo, W. Bruce Croft:
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. 287-296 - Travis R. Goodwin, Sanda M. Harabagiu:
Medical Question Answering for Clinical Decision Support. 297-306
Session 2c: Wikipedia
- Chengyu Wang, Rong Zhang, Xiaofeng He, Aoying Zhou:
Error Link Detection and Correction in Wikipedia. 307-316 - Shuting Wang, Alexander Ororbia, Zhaohui Wu, Kyle Williams, Chen Liang, Bart Pursel, C. Lee Giles:
Using Prerequisites to Extract Concept Maps fromTextbooks. 317-326 - Stefan Heindorf, Martin Potthast, Benno Stein, Gregor Engels:
Vandalism Detection in Wikidata. 327-336 - Besnik Fetahu, Katja Markert, Wolfgang Nejdl, Avishek Anand:
Finding News Citations for Wikipedia. 337-346
Session 2d: Clustering
- Kais Allab, Lazhar Labiod, Mohamed Nadif:
SemiNMF-PCA framework for Sparse Data Co-clustering. 347-356 - Zhiqiang Xu, Yiping Ke:
Effective and Efficient Spectral Clustering on Text and Link Data. 357-366 - Zhiqiang Tao, Hongfu Liu, Sheng Li, Yun Fu:
Robust Spectral Ensemble Clustering. 367-376 - Xin Jin, Daniel Agun, Tao Yang, Qinghao Wu, Yifan Shen, Susen Zhao:
Hybrid Indexing for Versioned Document Search with Cluster-based Retrieval. 377-386
Session 2e: Understanding Text
- Zhaochun Ren, Oana Inel, Lora Aroyo, Maarten de Rijke:
Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams. 387-396 - Hao Zhuang, Rameez Rahman, Xia Hu, Tian Guo, Pan Hui, Karl Aberer:
Data Summarization with Social Contexts. 397-406 - Tianyi Lin, Siyuan Zhang, Hong Cheng:
Understanding Sparse Topical Structure of Short Text via Stochastic Variational-Gibbs Inference. 407-416 - Kaiqi Zhao, Gao Cong, Aixin Sun:
Annotating Points of Interest with Geo-tagged Tweets. 417-426
Session 2f: Industry Session II
- Haifeng Wang:
Duer: Intelligent Personal Assistant. 427 - Pavel A. Dmitriev, Xian Wu:
Measuring Metrics. 429-437 - Fangzhou Zhu, Chen Luo, Mingxuan Yuan, Yijian Zhu, Zhengqing Zhang, Tao Gu, Ke Deng, Weixiong Rao, Jia Zeng:
City-Scale Localization with Telco Big Data. 439-448
Session 3a: Graph Analytics
- Jia Li, Yang Cao, Xudong Liu:
Approximating Graph Pattern Queries Using Views. 449-458 - Cheng Chen, Sean Chester, Venkatesh Srinivasan, Kui Wu, Alex Thomo:
Group-Aware Weighted Bipartite B-Matching. 459-468 - Salvador Aguiñaga, Rodrigo Palácios, David Chiang, Tim Weninger:
Growing Graphs from Hyperedge Replacement Graph Grammars. 469-478 - Yuqiong Liu, Chang Zhou, Jun Gao, Zhiguo Fan:
GiraphAsync: Supporting Online and Offline Graph Processing via Adaptive Asynchronous Message Processing. 479-488
Session 3b: Event Detection and Analytics
- Yu Liu, Baojian Zhou, Feng Chen, David W. Cheung:
Graph Topic Scan Statistic for Spatial Event Detection. 489-498 - Jinjin Guo, Zhiguo Gong:
A Nonparametric Model for Event Discovery in the Geospatial-Temporal Space. 499-508 - Wei Wang, Yue Ning, Huzefa Rangwala, Naren Ramakrishnan:
A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events. 509-518 - Xidao Wen, Yu-Ru Lin, Konstantinos Pelechrinis:
PairFac: Event Analytics through Discriminant Tensor Factorization. 519-528
Session 3c: Crowdsourcing
- Piyush Bansal, Carsten Eickhoff, Thomas Hofmann:
Active Content-Based Crowdsourcing Task Selection. 529-538 - Chenxi Qiu, Anna Cinzia Squicciarini, Barbara Carminati, James Caverlee, Dev Rishi Khare:
CrowdSelect: Increasing Accuracy of Crowdsourcing Tasks through Behavior Prediction and User Selection. 539-548 - Asif R. Khan, Hector Garcia-Molina:
Attribute-based Crowd Entity Resolution. 549-558 - Miao Li, Lisi Chen, Gao Cong, Yu Gu, Ge Yu:
Efficient Processing of Location-Aware Group Preference Queries. 559-568
Session 3d: Mobile
- Tianran Hu, Ruihua Song, Yingzi Wang, Xing Xie, Jiebo Luo:
Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data. 569-578 - Qi Guo, Yang Song:
Large-Scale Analysis of Viewing Behavior: Towards Measuring Satisfaction with Mobile Proactive Systems. 579-588 - Fei Wu, Zhenhui Li:
Where Did You Go: Personalized Annotation of Mobility Records. 589-598 - Dmitry Lagun, Donal McMahon, Vidhya Navalpakkam:
Understanding Mobile Searcher Attention with Rich Ad Formats. 599-608
Session 3e: Social Networks---Links and Trust
- Sumit Negi, Santanu Chaudhury:
Link Prediction in Heterogeneous Social Networks. 609-617 - Fusang Zhang, Beihong Jin, Tingjian Ge, Qiang Ji, Yanling Cui:
Who are My Familiar Strangers?: Revealing Hidden Friend Relations and Common Interests from Smart Card Data. 619-628 - Min-Hee Jang, Christos Faloutsos, Sang-Wook Kim, U Kang, Jiwoon Ha:
PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information. 629-638 - Daichi Imamori, Keishi Tajima:
Predicting Popularity of Twitter Accounts through the Discovery of Link-Propagating Early Adopters. 639-648
Session 3f: Industry Session III
- Rui Yan, Yiping Song, Xiangyang Zhou, Hua Wu:
"Shall I Be Your Chat Companion?": Towards an Online Human-Computer Conversation System. 649-658 - Yale Song, Miriam Redi, Jordi Vallmitjana, Alejandro Jaimes:
To Click or Not To Click: Automatic Selection of Beautiful Thumbnails from Videos. 659-668 - Haolan Chen, Di Niu, Kunfeng Lai, Yu Xu, Masoud Ardakani:
Separating-Plane Factorization Models: Scalable Recommendation from One-Class Implicit Feedback. 669-678 - Kan Ren, Weinan Zhang, Yifei Rong, Haifeng Zhang, Yong Yu, Jun Wang:
User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. 679-688
Keynote Address 2
- Susan T. Dumais:
Personalized Search: Potential and Pitfalls. 689
Session 4a: Information Retrieval
- Guido Zuccon, João R. M. Palotti, Allan Hanbury:
Query Variations and their Effect on Comparing Information Retrieval Systems. 691-700 - Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft:
Semantic Matching by Non-Linear Word Transportation for Information Retrieval. 701-710 - Navid Rekabsaz, Mihai Lupu, Allan Hanbury, Guido Zuccon:
Generalizing Translation Models in the Probabilistic Relevance Framework. 711-720 - Matthias Hagen, Michael Völske, Steve Göring, Benno Stein:
Axiomatic Result Re-Ranking. 721-730
Session 4b: User Behavior and Interfaces
- David Maxwell, Leif Azzopardi:
Agents, Simulated Users and Humans: An Analysis of Performance and Behaviour. 731-740 - Xinyang Zhang, Dashun Wang, Ting Wang:
Inspiration or Preparation?: Explaining Creativity in Scientific Enterprise. 741-750 - Jaewon Kim, Paul Thomas, Ramesh S. Sankaranarayana, Tom Gedeon, Hwan-Jin Yoon:
Pagination versus Scrolling in Mobile Web Search. 751-760 - Daniel Preotiuc-Pietro, Jordan Carpenter, Salvatore Giorgi, Lyle H. Ungar:
Studying the Dark Triad of Personality through Twitter Behavior. 761-770
Session 4c: Documents
- Ridho Reinanda, Edgar Meij, Maarten de Rijke:
Document Filtering for Long-tail Entities. 771-780 - Arunav Mishra, Klaus Berberich:
Estimating Time Models for News Article Excerpts. 781-790 - Ramakrishna B. Bairi, Raghavendra Udupa, Ganesh Ramakrishnan:
A Framework for Task-specific Short Document Expansion. 791-800 - Ramakrishna B. Bairi, Mark James Carman, Ganesh Ramakrishnan:
Beyond Clustering: Sub-DAG Discovery for Categorising Documents. 801-810
Session 4d: Knowledge Mining and Management
- Xiang Li, Ben Kao, Yudian Zheng, Zhipeng Huang:
On Transductive Classification in Heterogeneous Information Networks. 811-820 - Ning Yang, Philip S. Yu:
Efficient Hidden Trajectory Reconstruction from Sparse Data. 821-830 - Jyoti Leeka, Srikanta Bedathur, Debajyoti Bera, Medha Atre:
Quark-X: An Efficient Top-K Processing Framework for RDF Quad Stores. 831-840 - Bahareh Sadat Arab, Dieter Gawlick, Vasudha Krishnaswamy, Venkatesh Radhakrishnan, Boris Glavic:
Reenactment for Read-Committed Snapshot Isolation. 841-850
Session 4e: Truth Discovery
- Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su:
Influence-Aware Truth Discovery. 851-860 - Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah:
Truth Discovery via Exploiting Implications from Multi-Source Data. 861-870 - Tarique Siddiqui, Xiang Ren, Aditya G. Parameswaran, Jiawei Han:
FacetGist: Collective Extraction of Document Facets in Large Technical Corpora. 871-880 - Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah:
Empowering Truth Discovery with Multi-Truth Prediction. 881-890
Session 4f: Industry Session IV
- Marc Najork:
Using Machine Learning to Improve the Email Experience. 891 - Dhruv Mahajan, Vishwajit Kolathur, Chetan Bansal, Suresh Parthasarathy, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke:
Hashtag Recommendation for Enterprise Applications. 893-902 - Sattar Ameri, Mahtab Jahanbani Fard, Ratna Babu Chinnam, Chandan K. Reddy:
Survival Analysis based Framework for Early Prediction of Student Dropouts. 903-912
Session 5a: Sentiment and Opinion Mining
- Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai:
Generative Feature Language Models for Mining Implicit Features from Customer Reviews. 929-938 - Hongkun Yu, Jingbo Shang, Meichun Hsu, Malú Castellanos, Jiawei Han:
Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis. 939-948 - Fangzhao Wu, Sixing Wu, Yongfeng Huang, Songfang Huang, Yong Qin:
Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge. 949-958 - Dae Hoon Park, Yi Fang, Mengwen Liu, ChengXiang Zhai:
Mobile App Retrieval for Social Media Users via Inference of Implicit Intent in Social Media Text. 959-968
Session 5b: Time Series
- Zhifei Zhang, Yang Song, Wei Wang, Hairong Qi:
Derivative Delay Embedding: Online Modeling of Streaming Time Series. 969-978 - Xiangdong Huang, Jianmin Wang, Raymond K. Wong, Jinrui Zhang, Chen Wang:
PISA: An Index for Aggregating Big Time Series Data. 979-988 - Sheng Li, Yaliang Li, Yun Fu:
Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach. 989-998 - Hoang Anh Dau, Nurjahan Begum, Eamonn J. Keogh:
Semi-Supervision Dramatically Improves Time Series Clustering under Dynamic Time Warping. 999-1008
Session 5c: Learning for Classification and Prediction
- Zhichen Gong, Huanhuan Chen:
Model-Based Oversampling for Imbalanced Sequence Classification. 1009-1018 - Ping Wang, Karthik K. Padthe, Bhanukiran Vinzamuri, Chandan K. Reddy:
CRISP: Consensus Regularized Selection based Prediction. 1019-1028 - Vincent Wenchen Zheng, Kevin Chen-Chuan Chang:
Regularizing Structured Classifier with Conditional Probabilistic Constraints for Semi-supervised Learning. 1029-1038 - Gordon V. Cormack, Maura R. Grossman:
Scalability of Continuous Active Learning for Reliable High-Recall Text Classification. 1039-1048
Session 5d: Social Media
- Henry S. Vieira, Altigran S. da Silva, Pável Calado, Marco Cristo, Edleno Silva de Moura:
Towards the Effective Linking of Social Media Contents to Products in E-Commerce Catalogs. 1049-1058 - Tuan-Anh Hoang, Ee-Peng Lim:
Tracking Virality and Susceptibility in Social Media. 1059-1068 - Swapnil Mishra, Marian-Andrei Rizoiu, Lexing Xie:
Feature Driven and Point Process Approaches for Popularity Prediction. 1069-1078 - Feifan Fan, Yansong Feng, Lili Yao, Dongyan Zhao:
Adaptive Evolutionary Filtering in Real-Time Twitter Stream. 1079-1088
Session 5e: Queries and Search
- Cheng Li, Paul Resnick, Qiaozhu Mei:
Multiple Queries as Bandit Arms. 1089-1098 - Leonid Boytsov, David Novak, Yury A. Malkov, Eric Nyberg:
Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search. 1099-1108 - Ninh Pham, Rasmus Pagh:
Scalability and Total Recall with Fast CoveringLSH. 1109-1118 - Zhuyun Dai, Chenyan Xiong, Jamie Callan:
Query-Biased Partitioning for Selective Search. 1119-1128
Session 5f: Industry Session V
- Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan:
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach. 1129-1138 - Erik Ordentlich, Lee Yang, Andy Feng, Peter Cnudde, Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Gavin Owens:
Network-Efficient Distributed Word2vec Training System for Large Vocabularies. 1139-1148
Keynote Address 3
- Andrei Z. Broder:
A Personal Perspective and Retrospective on Web Search Technology. 1149
Session 6a: Learning Algorithms
- Yiu-ming Cheung, Jian Lou:
Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning. 1151-1160