The 9th ACM International Conference on Web Search and Data Mining

San Francisco, California, USA. February 22-25, 2016.

Accepted Papers

  • Multi-view Machines
    Bokai Cao (UIC); Hucheng Zhou (Microsoft Research); Guoqiang Li (Microsoft); Philip Yu (UIC)
  • Long-tail Vocabulary Dictionary Extraction from the Web
    Zhe Chen (University of Michigan); Michael Cafarella (University of Michigan); H. V. Jagdish (University of Michigan)
  • Cross-modality Consistent Regression for Joint Visual-Textual Sentiment Analysis of Social Multimedia
    Quanzeng You (University of Rochester); Jiebo Luo (University of Rochester); Hailin Jin (Adobe Research); Jianchao Yang (Snapchat Inc)
  • Hierarchical Label Propagation and Discovery for Machine Generated Email
    James B. Wendt (University of California, Los Angeles); Michael Bendersky (Google, Inc.); Lluis Garcia-Pueyo (Google, Inc.); Vanja Josifovski (Pinterest); Balint Miklos (Google, Inc.); Ivo Krka (Google, Inc.); Amitabh Saikia (Google, Inc.); Jie Yang (Google, Inc.); Marc-Allen Cartright (Google, Inc.); Sujith Ravi (Google, Inc.)
  • DiFacto --- Distributed Factorization Machines
    Mu Li (Carnegie Mellon University); Ziqi Liu (Carnegie Mellon University); Alexander Smola (Carnegie Mellon University); Yu-Xiang Wang (Carnegie Mellon University)
  • Relational Learning with Social Status Analysis
    Liang Wu (Arizona State University); Xia Hu (Arizona State University); Huan Liu (Arizona State University)
  • Your Cart tells You: Inferring Demographic Attributes from Purchase Data
    Pengfei Wang (Institute of Computing Technology, CAS); Jiafeng Guo (Institute of Computing Technology, CAS); Yanyan Lan (Institute of Computing Technology, CAS); Jun Xu (Institute of Computing Technology, CAS); Xueqi Cheng (Institute of Computing Technology, CAS)
  • Towards Modelling Language Innovation Acceptance in Online Social Networks
    Daniel Kershaw (Lancaster University); Matthew Rowe (Lancaster University); Patrick Stacey (Lancaster University)
  • Nonlinear Laplacian for Digraphs and its Applications to Network Analysis
    Yuichi Yoshida (National Institute of Informatics)
  • Learning Distributed Representations of Data in Community Question Answering for Question Retrieval
    Kai Zhang (Beihang University); Wei Wu (Microsoft Research); Zhoujun Li (Beihang University)
  • Modeling Intransitivity in Matchup and Comparison Data
    Shuo Chen (Cornell University); Thorsten Joachims (Cornell University)
  • Querying and Tracking Influencers in Social Streams
    Karthik Subbian (University of Minnesota); Charu Aggarwal (IBM); Jaideep Srivastava (University of Minnesota)
  • Inferring Latent Triggers of Purchases with Consideration of Social Effects and Media Advertisements
    Yusuke Tanaka (NTT corporation); Takeshi Kurashima (NTT corporation); Yasuhiro Fujiwara (NTT corporation); Tomoharu Iwata (NTT corporation); Hiroshi Sawada (NTT corporation)
  • How Relevant is the Irrelevant Data: Leveraging the Tagging Data for a Learning-to-Rank Model
    Noor Ifada (Queensland University of Technology); Richi Nayak (Queensland University of Technology)
  • Project Success Prediction in Crowdfunding Environments
    Yan Li (Wayne State University); Vineeth Rakesh (Wayne State University); Chandan K. Reddy (Wayne State University)
  • Quantifying Controversy in Social Media
    Kiran Garimella (Aalto University); Gianmarco De Francisci Morales (Aalto University); Aristides Gionis (Aalto University); Michael Mathioudakis (Helsinki Institute for Information Technology)
  • Probabilistic Group Recommendation Model for Crowdfunding Domains
    Vineeth Rakesh (Wayne State University); Wang-Chien Lee (The Pennsylvania State University); Chandan K. Reddy (Wayne State University)
  • Extracting Search Query Patterns via the Pairwise Coupled Topic Model
    Takuya Konishi (National Institute of Informatics); Takuya Ohwa (National Institute of Informatics); Sumio Fujita (Yahoo! JAPAN Research); Kazushi Ikeda (Nara Institute of Science and Technology); Kohei Hayashi (National Institute of Informatics)
  • Relationship Queries on Extended Knowledge Graphs
    Mohamed Yahya (Max Planck Insitute for Informatics); Denilson Barbosa (University of Alberta); Klaus Berberich (Max Planck Institute for Informatics); Qiuyue Wang (Renmin University); Gerhard Weikum (Max Planck Institute for Informatics)
  • Publication date prediction through reverse engineering of the Web
    Liudmila Ostroumova Prokhorenkova (Yandex); Petr Prokhorenkov (Yandex); Egor Samosvat (Yandex); Pavel Serdyukov (Yandex)
  • Crowdsourcing High Quality Labels with a Tight Budget
    Qi Li (SUNY Buffalo); Fenglong Ma (SUNY Buffalo); Jing Gao (SUNY Buffalo); Lu Su (SUNY Buffalo); Christopher Quinn (Purdue University)
  • Evolution of Privacy Loss in Wikipedia
    Marian-Andrei Rizoiu (NICTA Research Laboratory); Lexing Xie (Australian National University); Tiberio Caetano (NICTA Research Laboratory); Manuel Cebrian (NICTA Research Laboratory)
  • Transductive Classification on Heterogeneous Information Networks with Edge Betweenness-based Normalization
    Phiradet Bangcharoensap (Tokyo Institute of Technology); Tsuyoshi Murata (Tokyo Institute of Technology); Hayato Kobayashi (Yahoo Japan Corporation); Nobuyuki Shimizu (Yahoo Japan Corporation)
  • Who Will Reply to/Retweet This Tweet? The Dynamics of Friendships and Online Social Interactions
    Nicholas Jing Yuan (Microsoft Research); Yuan Zhong (Northeastern University); Fuzheng Zhang (Microsoft Research); Xing Xie (Microsoft Research); Chin-Yew Lin (Microsoft Research); Yong Rui (Microsoft Research)
  • Semantic Documents Relatedness using Concept Graph Representation
    Yuan Ni (IBM China Research Laboratory); Qiongkai Xu (IBM Research, China); Feng Cao (IBM China Research Laboratory); Yosi Mass (IBM Haifa Research Lab); Dafna Sheinwald (IBM Research, haifa); Huijia Zhu (IBM Research, China); Shaosheng Cao (School of Computer Science, Xidian University)
  • Discriminative Learning of Infection Models
    Nir Rosenfeld (Hebrew University); Mor Nitzan (Racah Institute of Physics, The Hebrew University, Jerusalem); Amir Globerson (Hebrew University)
  • Enforcing k-anonymity in Web mail auditing
    Dotan Di Castro (yahoo Labs); Liane Lewin-Eytan (Yahoo Labs); Yoelle Maarek (Yahoo Labs); Ran Wolff (Yahoo Labs); Eyal Zohar (Yahoo Labs)
  • Multileave Gradient Descent for Fast Online Learning to Rank
    Anne Schuth (University of Amsterdam); Harrie Oosterhuis (University of Amsterdam); Shimon Whiteson (University of Oxford); Maarten de Rijke (University of Amsterdam)
  • To Suggest, or Not to Suggest for Queries with Diverse Intents: Optimizing Search Result Presentation
    Makoto P. Kato (Kyoto University); Katsumi Tanaka (Kyoto University)
  • Geographic Segmentation via Latent Poisson Factor Model
    Rose Yu (University of Southern California); Andrew Gelfand (Yahoo Labs!); Suju Rajan (Yahoo Labs!); Cyrus Shahabi (University of Southern California); Yan Liu (University of Southern California)
  • Understanding and Identifying Advocates of Political Campaigns on Social Media
    Suhas Ranganath (ASU); Xia Hu (Texas A&M University); Jiliang Tang (Yahoo! Labs); Huan Liu (Professor, Arizona State University)
  • EgoSet: Exploiting Word Ego-networks and User-generated Ontology for Multifaceted Set Expansion
    Xin Rong (University of Michigan); Zhe Chen (University of Michigan); Qiaozhu Mei (University of Michigan); Eytan Adar (University of Michigan)
  • A Semantic Graph based Topic Model for Question Retrieval in Community Question Answering
    Long Chen (University of Glasgow); Joemon Jose (University of Glasgow); Haitao Yu (University of Tsukuba); Fajie Yuan (University of Glasgow); Dell Zhang (Birkbeck, University of London); Tingting He (Computer Science Department)
  • Hierarchical Semi-supervised Classification with Incomplete Class Hierarchies
    Bhavana Dalvi (Carnegie Mellon University); Aditya Mishra (University of Massachusetts, Amherst); William Cohen (Carnegie Mellon University)
  • You've got mail, and here is what you could do with it! Analyzing and predicting actions on email messages
    Yoelle Maarek (Yahoo Labs); Dotan Di Castro (Yahoo Labs); Liane Lewin Eytan (Yahoo Labs); Zohar Karnin (Yahoo Labs)
  • Mobile App Tagging
    Ning Chen (Nanyang Technological University); Steven C.H. Hoi (Singapore Management University); Shaohua Li (Nanyang Technological University); Xiaokui Xiao (Nanyang Technological University)
  • Term-by-Term Query Auto-Completion for Mobile Search
    Sa£l Vargas (University of Glasgow); Roi Blanco (Yahoo Labs London); Peter Mika (Yahoo Labs London)
  • Equality and Social Mobility in Twitter Discussion Groups
    Katherine Ellis (University of California, San Diego); Moises Goldszmidt (Zynga); Gert Lanckriet (Department of Electrical and Computer Engineering, UC San Diego); Nina Mishra (Computer Science Department, Stanford University); Omer Reingold (Samsung Research America)
  • Scaling up Link Prediction with Ensembles
    Liang Duan (Beihang University); Charu Aggarwal (IBM Watson); Shuai Ma (Beihang University); Renjun Hu (Beihang University); Jinpeng Huai (Beihang University,Beijing,China)
  • The Troll-Trust Model for Ranking in Signed Networks
    Zhaoming Wu (Georgia Institute of Technology); Charu Aggarwal (IBM T.J. Watson Research Center); Jimeng Sun (Georgia Institute of Technology)
  • Representation Learning for Information Diffusion through Social Networks : an Embedded Cascade Model
    Simon Bourigault (UPMC); Sylvain Lamprier (LIP6 - UPMC); Patrick Gallinari (LIP6 - University of Paris 6)
  • Centrality-Aware Link Recommendations
    Nikos Parotsidis (University of Ioannina); Evaggelia Pitoura (Univ. of Ioannina); Panayiotis Tsaparas (University of Ioannina)
  • Learning Dynamic Collective Entity Representations for Entity Ranking
    David Graus (University of Amsterdam); Manos Tsagkias (904Labs); Wouter Weerkamp (904Labs); Edgar Meij (Yahoo Labs); Maarten de Rijke (University of Amsterdam)
  • Improving IP Geolocation using Query Logs
    Ovidiu Dan (Lehigh University); Vaibhav Parikh (Microsoft Bing); Brian D. Davison (Lehigh University)
  • Exploiting New Sentiment-Based Meta-level Features for Effective Sentiment Analysis
    S‚rgio Canuto (Federal University of Minas Gerais); Marcos Andr‚ Gon‡alves (Federal University of Minas Gerais); Fabr¡cio Benevenuto (Federal University of Minas Gerais)
  • Multi-Score Position Auctions
    Denis Charles (Microsoft); Nikhil R. Devanur (Microsoft Research); Balasubramanian Sivan (Microsoft Research)
  • Personalized PageRank Estimation and Search: A Bidirectional Approach
    Peter Lofgren (Stanford); Siddhartha Banerjee (Stanford); Ashish Goel (Stanford)
  • Beyond Ranking: Optimizing Whole-Page Presentation
    Yue Wang (University of Michigan); Dawei Yin (Yahoo Labs); Roger Jie Luo (Yahoo! Labs); Pengyuan Wang (Yahoo! Labs); Makoto Yamada (Yahoo! Labs); Yi Chang (Yahoo Labs, USA); Qiaozhu Mei (University of Michigan)
  • Barbara Made the News: Mining the Behavior of Crowds for Time-Aware Learning to Rank
    Flavio Martins (Universidade Nova de Lisboa); Joao Magalhaes (Universidade Nova de Lisboa); Jamie Callan (Carnegie Mellon University)
  • On the Efficiency of the Information Networks in Social Media
    Mahmoudreza Babaei (Max Planck Institute for Software Systems (MPI-SWS)); Przemyslaw Grabowicz (Max Planck Institute for Software Systems (MPI-SWS)); Isabel Valera (Max Planck Institute for Software Systems (MPI-SWS)); Krishna Gummadi (Max Planck Institute for Software Systems (MPI-SWS)); Manuel Gomez-Rodriguez (Max Planck Institute for Software Systems (MPI-SWS))
  • Information Evolution in Social Networks
    Lada A. Adamic (Facebook Inc.); Thomas M. Lento (Facebook Inc.); Eytan Adar (University of Michigan); Pauline C. Ng (Genome Institute of Singapore)
  • An Information-Theoretic Approach to Individual Sequential Data Sanitization
    Luca Bonomi (Emory University); Liyue Fan (University of Southern California); Hongxia Jin (Samsung Research America)
  • Distributed Balanced Partitioning via Linear Embedding
    Kevin Aydin (Google Inc); Mohammadhossein Bateni (Google Inc.); Vahab Mirrokni (Google Research)
  • Wiggins: Detecting Valuable Information in Dynamic Networks with Limited Resources
    Ahmad Mahmoody (Brown University, Dept of Computer Science); Eli Upfal (Brown); Matteo Riondato (Brown University)
  • Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior
    Farshad Kooti (USC Information Sciences Institute); Kristina Lerman (University of Southern California); Luca Maria Aiello (Yahoo Labs); Mihajlo Grbovic (Yahoo! Labs); Nemanja Djuric (Yahoo Labs); Vladan Radosavljevic (Yahoo Labs)
  • Improving Website Hyperlink Structure Using Server Logs
    Ashwin Paranjape (Stanford University); Robert West (Stanford University); Leila Zia (Wikimedia Foundation); Jure Leskovec (Stanford University)
  • Understanding and Measuring User Engagement and Attention in Online News Reading
    Dmitry Lagun (Google); Mounia Lalmas (Yahoo Labs)
  • Ensemble Models for Data-Driven Prediction of Malware Infections
    Chanhyun Kang (Dept. of Computer Science, University of Maryland, College Park); Noseong Park (Dept. of Computer Science, University of Maryland, College Park); B.Aditya Prakash (Dept. of Computer Science, Virginia Tech); Edoardo Serra (UMIACS, University of Maryland, College Park); V.S. Subrahmanian (Dept. of Computer Science, University of Maryland, College Park)
  • Quality Management in Crowdsourcing using Gold Judges Behavio
    Gabriella Kazai (Microsoft); Imed Zitouni (Microsoft)
  • CCCF: Improving Collaborative Filtering via Scalable User-Item Co-Clustering
    Yao Wu (Simon Fraser University); Xudong Liu (Institute of Automation, Chinese Academy of Sciences); Min Xie (WalmartLabs); Martin Ester (Simon Fraser University); Qing Yang (Institute of Automation, Chinese Academy of Sciences)
  • Collaborative Denoising Auto-Encoders for Top-N Recommender Systems
    Yao Wu (Simon Fraser University); Christopher Dubois (Dato); Alice Zheng (Dato); Martin Ester (Simon Fraser University)
  • Reducing Click and Skip Errors in Search Result Ranking
    Jiepu Jiang (School of Computer Science, University of Massachusetts Amherst); James Allan (School of Computer Science, University of Massachusetts Amherst)
  • Modeling Check-in Preferences with Multidimensional Knowledge: A Minimax Entropy Approach
    Jingjing Wang (UIUC); Min Li (UIUC); Jiawei Han (UIUC); Xiaolong Wang (UIUC)
  • On obtaining effort based judgments for Information retrieval
    Manisha Verma (University college london); Emine Yilmaz (Microsoft Research Cambridge); Nick Craswel (Microsoft research)
  • Kangaroo: Workload-Aware Processing of Range Data and Range Queries in Hadoop
    Ahmed Aly (Purdue University); Hazem Elmeleegy (Turn Inc); Yan Qi (Turn Inc); Walid Aref (Purdue University)
  • Modeling and Predicting Learning Behavior in MOOCs
    Jiezhong Qiu (Department of Computer Science and Technology, Tsinghua University); Jie Tang (Department of Computer Science and Technology, Tsinghua University); Tracy Liu (Department of Economics, School of Economics and Management, Tsinghua University); Jie Gong (NUS Business School, National University of Singapore); Chenhui Zhang (Department of Computer Science and Technology, Tsinghua University); Qian Zhang (Department of Computer Science and Technology, Tsinghua University); Yufei Xue (Department of Computer Science and Technology, Tsinghua University)
  • Feedback Control of Real-Time Display Advertising
    Weinan Zhang (University College London); Yifei Rong (University College London); Jun Wang (University College London); Tianchi Zhu (BigTree Inc.); Xiaofan Wang (Shanghai Jiao Tong University)