Accepted Papers

  • Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search
    Saehoon Kim (POSTECH)
    Yuxiong He (Microsoft Research)
    Seung-won Hwang (POSTECH)
    Sameh Elnikety (Microsoft Research)
    Seungjin Choi (POSTECH)
  • MergeRUCB: A Method for Large-Scale Online Ranker Evaluation
    Masrour Zoghi (University of Amsterdam)
    Shimon Whiteson (University of Amsterdam)
    Maarten de Rijke (University of Amsterdam)
  • Engagement Periodicity in Search Engine Usage: Analysis and its Application to Search Quality Evaluation
    Alexey Drutsa (Yandex)
    Gleb Gusev (Yandex)
    Pavel Serdyukov (Yandex)
  • Toward Predicting the Outcome of an A/B Experiment for Search Relevance
    Lihong Li (Microsoft Corp)
    Jin Young Kim (Microsoft Corp)
    Imed Zitouni (Microsoft Corp)
  • Optimal Space-time Tradeoffs for Inverted Indexes
    Giuseppe Ottaviano (National Research Council of Italy)
    Nicola Tonellotto (National Research Council of Italy)
    Rossano Venturini (National Research Council of Italy & University of Pisa)
  • Understanding and Predicting Graded Search Satisfaction
    Jiepu Jiang (University of Massachusetts Amherst)
    Ahmed Hassan Awadallah (Microsoft Research Redmond)
    Xiaolin Shi (Microsoft Research Redmond)
    Ryen W. White (Microsoft Research Redmond)
  • Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis
    Pengyuan Wang (Yahoo Labs)
    Wei Sun (Purdue University)
    Dawei Yin (Yahoo Labs)
    Jian Yang (Yahoo Labs)
    Yi Chang (Yahoo Labs)
  • The Power of Random Neighbors in Social Networks
    Silvio Lattanzi (Google, Inc.)
    Yaron Singer (Harvard University)
  • Negative Link Prediction in Social Media
    Jiliang Tang (Arizona State University)
    Shiyu Chang (University of Illinois at Urbana-Champaign)
    Charu Aggarwal (IBM T.J. Watson Research Center)
    Huan Liu (Arizona State University)
  • Sarcasm Detection on Twitter: A Behavioral Modeling Approach
    Ashwin Rajadesingan (Arizona State University)
    Reza Zafarani (Arizona State University)
    Huan Liu (Arizona State University)
  • Modeling and Predicting Retweeting Dynamics on Microblogging Platforms
    Shuai Gao (Shandong University)
    Jun Ma (Shandong University)
    Zhumin Chen (Shandong University)
  • On Integrating Network and Community Discovery
    Jialu Liu (University of Illinois at Urbana-Champaign)
    Charu Aggarwal (IBM T.J. Watson Research Center)
    Jiawei Han (University of Illinois at Urbana-Champaign)
  • On the Accuracy of Hyper-local Geotagging of Social Media Content
    David Flatow (Cornell Tech & Stanford University)
    Mor Naaman (Cornell Tech)
    Ke Eddie Xie (Cornell Tech & Twitter Inc.)
    Yana Volkovich (Cornell Tech & Barcelona Media)
    Yaron Kanza (Cornell Tech & Technion – Israel Institute of Technology)
  • Learning to Recommend Related Entities to Search Users
    Bin Bi (University of California, Los Angeles)
    Hao Ma (Microsoft Research)
    Bo-June (Paul) Hsu (Microsoft Research)
    Wei Chu (Microsoft)
    Kuansan Wang (Microsoft Research)
    Junghoo Cho (University of California, Los Angeles)
  • Will This Paper Increase Your h-Index? Scientific Impact Prediction
    Yuxiao Dong (University of Notre Dame)
    Reid A. Johnson (University of Notre Dame)
    Nitesh V. Chawla (University of Notre Dame)
  • Concept Graph Learning from Educational Data
    Yiming Yang (Carnegie Mellon University)
    Hanxiao Liu (Carnegie Mellon University)
    Jaime Carbonell (Carnegie Mellon University)
    Wanli Ma (Carnegie Mellon University)
  • Review Synthesis for Micro-Review Summarization
    Thanh-Son Nguyen (Singapore Management University)
    Hady W. Lauw (Singapore Management University)
    Panayiotis Tsaparas (University of Ioannina)
  • Fast and Space-Efficient Entity Linking in Queries
    Roi Blanco (Yahoo Labs)
    Giuseppe Ottaviano (ISTI-CNR)
    Edgar Meij (Yahoo Labs)
  • On Tag Recommendation for Expertise Profiling: A Case Study in the Scientific Domain
    Isac S. Ribeiro (Universidade Federal de Minas Gerais)
    Rodrygo L. T. Santos (Universidade Federal de Minas Gerais)
    Marcos A. Gonçalves (Universidade Federal de Minas Gerais)
    Alberto H. F. Laender (Universidade Federal de Minas Gerais)
  • FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering
    Yao Wu (Simon Fraser University)
    Martin Ester (Simon Fraser University)
  • Driven by Food: Modeling Geographic Choice
    Ravi Kumar (Google)
    Mohammad Mahdian (Google)
    Bo Pang (Google)
    Andrew Tomkins (Google)
    Sergei Vassilvitskii (Google)
  • Hiring Behavior Models for Online Labor Markets
    Marios Kokkodis (NYU Stern)
    Panagiotis Papadimitriou (Elance-oDesk)
    Panagiotis G. Ipeirotis (NYU Stern)
  • Just in Time Recommendations – Modeling the Dynamics of Boredom in Activity Streams
    Komal Kapoor (University of Minnesota)
    Karthik Subbian (University of Minnesota)
    Jaideep Srivastava (University of Minnesota)
    Paul Schrater (University of Minnesota)
  • Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning
    Honglei Zhuang (LinkedIn Corporation & University of Illinois at Urbana-Champaign)
    Joel Young (LinkedIn Corporation)
  • Listwise Approach for Rank Aggregation in Crowdsourcing
    Shuzi Niu (Chinese Academy of Sciences)
    Yanyan Lan (Chinese Academy of Sciences)
    Jiafeng Guo (Chinese Academy of Sciences)
    Xueqi Cheng (Chinese Academy of Sciences)
    Lei Yu (Chinese Academy of Sciences)
    Guoping Long (Chinese Academy of Sciences)
  • WorkerRank: Using Employer Implicit Judgements to Infer Worker Reputation
    Maria Daltayanni (University of California, Santa Cruz)
    Luca de Alfaro (University of California, Santa Cruz)
    Panagiotis Papadimitriou (Elance-oDesk)
  • User Modeling for a Personal Assistant
    Ramanathan Guha (Google)
    Vineet Gupta (Google)
    Vivek Raghunathan (Google)
    Ramakrishnan Srikant (Google)
  • Predicting the Next App that You Are Going to Use
    Ricardo Baeza-Yates (Yahoo Labs)
    Di Jiang (HKUST)
    Fabrizio Silvestri (Yahoo Labs)
    Beverly Harrison (Yahoo Labs)
  • You Are Where You Go: Inferring Demographic Attributes from Location Check-Ins
    Yuan Zhong (Microsoft Research & Northeastern University)
    Nicholas Jing Yuan (Microsoft Research)
    Wen Zhong (Stony Brook University)
    Fuzheng Zhang (University of Science and Technology of China & Microsoft Research)
    Xing Xie (Microsoft Research)
  • SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning
    Ning Chen (Nanyang Technological University)
    Steven C. H. Hoi (Singapore Management University)
    Shaohua Li (Nanyang Technological University)
    Xiaokui Xiao (Nanyang Technological University)
  • Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference
    Bin Liu (Rutgers University)
    Deguang Kong (Samsung Research America)
    Lei Cen (Purdue University)
    Neil Zhenqiang Gong (University of California, Berkeley)
    Hongxia Jin (Samsung Research America)
    Hui Xiong (Rutgers University)
  • Inferring Movement Trajectories from GPS Snippets
    Mu Li (Carnegie Mellon University)
    Amr Ahmed (Google Strategic Technologies)
    Alexander J. Smola (Carnegie Mellon University & Google Strategic
    Technologies)
  • Back to the Past: Supporting Interpretations of Forgotten Stories by Time-aware Re-Contextualization
    Nam Khanh Tran (Leibniz Universität)
    Andrea Ceroni (Leibniz Universität)
    Nattiya Kanhabua (Leibniz Universität)
    Claudia Niederée (Leibniz Universität)
  • Diluted Treatment Effect Estimation for Trigger Analysis in Online Controlled Experiments
    Alex Deng (Microsoft)
    Victor Hu (Microsoft)
  • Inverting a Steady-State
    Ravi Kumar (Google)
    Andrew Tomkins (Google)
    Sergei Vassilvitskii (Google)
    Erik Vee (Google)
  • Automatic Gloss Finding for a Knowledge Base Using Ontological Constraints
    Bhavana Dalvi (Carnegie Mellon University)
    Einat Minkov (University of Haifa)
    Partha P. Talukdar (Indian Institute of Science)
    William W. Cohen (Carnegie Mellon University)
  • Finding Subgraphs with Maximum Total Density and Limited Overlap
    Oana Denisa Balalau (Telecom Paristech)
    Francesco Bonchi (Yahoo Labs)
    T-H. Hubert Chan (The University of Hong Kong)
    Francesco Gullo (Yahoo Labs)
    Mauro Sozio (Telecom Paristech)
  • Modeling Website Popularity Competition in the Attention-Activity Marketplace
    Bruno Ribeiro (Carnegie Mellon University)
    Christos Faloutsos (Carnegie Mellon University)
  • Exploring the Space of Topic Coherence Measures
    Michael Röder (Leipzig University)
    Andreas Both (Unister GmbH)
    Alexander Hinneburg (Martin-Luther-University)

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