WSDM 2015 Accepted Papers

  • Maria Daltayanni, Luca de Alfaro and Panagiotis Papadimitriou. WorkerRank: Using Employer Implicit Judgements To Infer Worker Reputation
  • Yuan Zhong, Nicholas Jing Yuan, Wen Zhong, Fuzheng Zhang and Xing Xie. You Are Where You Go: Inferring Demographic Attributes from Location Check-ins
  • Bhavana Dalvi, Einat Minkov, Partha Talukdar and William Cohen. Automatic Gloss Finding for a Knowledge Base using Ontological Constraints
  • Saehoon Kim, Yuxiong He, Seung-Won Hwang, Sameh Elnikety and Seungjin Choi. DDS Prediction: Reducing Extreme Tail Latency in Web Search
  • Masrour Zoghi, Shimon Whiteson and Maarten de Rijke. MergeRUCB: A Method for Large-Scale Online Ranker Evaluation
  • Yao Wu and Martin Ester. FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering
  • Yiming Yang, Hanxiao Liu, Jaime Carbonell and Wanli Ma. Concept Graph Learning from Educational Data
  • Silvio Lattanzi and Yaron Singer. The Power of Random Neighbors in Social Networks
  • Pengyuan Wang, Wei Sun, Dawei Yin, Jian Yang and Yi Chang. Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis
  • Jiliang Tang, Shiyu Chang, Charu Aggarwal and Huan Liu. Negative Link Prediction in Social Media
  • David Flatow, Mor Naaman, Eddie Xie, Yana Volkovich and Yaron Kanza. On the Bounds and Accuracy of Hyper-local Geocoding of Social Media Content
  • Giuseppe Ottaviano, Nicola Tonellotto and Rossano Venturini. Optimal Space-time Tradeoffs for Inverted Indexes
  • Oana Denisa Balalau, Francesco Bonchi, T-H. Hubert Chan, Francesco Gullo and Mauro Sozio. Finding Subgraphs with Maximum Total Density and Limited Overlap
  • Marios Kokkodis, Panagiotis Papadimitriou and Panos Ipeirotis. On Hiring Decisions in Online Labor Markets
  • Ravi Kumar, Mohammad Mahdian, Bo Pang, Andrew Tomkins and Sergei Vassilvitskii. Modeling Geographic Choice
  • Honglei Zhuang and Joel Young. Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning
  • Ricardo Baeza-Yates, Di Jiang, Fabrizio Silvestri and Beverly Harrison. Predicting The Next App That You Are Going To Use
  • Shuai Gao, Jun Ma and Zhumin Chen. Modeling and Predicting Retweeting Dynamics on Microblogging Platforms
  • Bin Bi, Hao Ma, Paul Hsu, Wei Chu, Kuansan Wang and Junghoo Cho. Learning to Recommend Related Entities to Search Users
  • Ning Chen, Steven C.H. Hoi, Shaohua Li and Xiaokui Xiao. SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning
  • Komal Kapoor, Karthik Subbian, Jaideep Srivastava and Paul Schrater. Timing Matters! – Modeling Dynamics of Boredom in Activity Streams
  • Alex Deng and Victor Hu. Diluted Treatment Effect Estimation for Trigger Analysis in Online Controlled Experiments
  • Shuzi Niu. Listwise Approach for Rank Aggregation in Crowdsourcing
  • Ramanathan Guha, Vineet Gupta, Vivek Raghunathan and Ramakrishnan Srikant. User Modeling for a Personal Assistant
  • Ravi Kumar, Andrew Tomkins, Sergei Vassilvitskii and Erik Vee. Inverting a Steady-State
  • Jin Kim, Lihong Li and Imed Zitouni. Pre-flight Success Prediction of Relevance Flights
  • Bruno Ribeiro and Christos Faloutsos. Modeling Website Popularity Competition in the Attention-Activity Marketplace
  • Mu Li, Amr Ahmed and Alex Smola. Inferring Movement Trajectories from GPS Snippets
  • Yuxiao Dong, Reid Johnson and Nitesh Chawla. Will This Paper Increase Your h-index? Scientific Impact Prediction
  • Nam Khanh Tran, Andrea Ceroni, Nattiya Kanhabua and Claudia Niederée. Back to the Past: Supporting Interpretations of Forgotten Stories by Time-aware Re-Contextualization
  • Ashwin Rajadesingan, Reza Zafarani and Huan Liu. Sarcasm Detection on Twitter: A Behavioral Modeling Approach
  • Roi Blanco, Giuseppe Ottaviano and Edgar Meij. Fast and space-efficient entity linking in queries
  • Alexey Drutsa, Pavel Serdyukov and Gleb Gusev. Engagement periodicity in search engine usage: analysis and its application to search quality evaluation
  • Jiepu Jiang, Ahmed Hassan, Xiaolin Shi and Ryen White. Understanding and Predicting Graded Search Satisfaction
  • Isac Ribeiro, Rodrygo Santos, Alberto Laender and Marcos Gonçalves. On Tag Recommendation for Expertise Profiling: A Case Study in the Scientific Domain
  • Thanh-Son Nguyen, Hady Lauw and Panayiotis Tsaparas. Using Review Snippets to Summarize Micro-Reviews
  • Bin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin and Hui Xiong. Personalized Mobile App Recommendation: Reconcling App Functionality and User Privacy Preference
  • Jialu Liu, Charu Aggarwal and Jiawei Han. On Integrating Network and Community Discovery
  • Michael Röder, Andreas Both and Alexander Hinneburg. Exploring the Space of Coherence Measures

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