Table of Contents

• Making Sense of Big Data with the Berkeley Data Analytics StackMichael Franklin. 1-2 [doi]
• New Directions in Recommender SystemsJure Leskovec. 3-4 [doi]
• Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"?Andrei Z. Broder, Lada A. Adamic, Michael Franklin, Maarten de Rijke, Eric P. Xing, Kai Yu. 5-6 [doi]
• Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web SearchSaehoon Kim, Yuxiong He, Seung-won Hwang, Sameh Elnikety, Seungjin Choi. 7-16 [doi]
• MergeRUCB: A Method for Large-Scale Online Ranker EvaluationMasrour Zoghi, Shimon Whiteson, Maarten de Rijke. 17-26 [doi]
• Engagement Periodicity in Search Engine Usage: Analysis and its Application to Search Quality EvaluationAlexey Drutsa, Gleb Gusev, Pavel Serdyukov. 27-36 [doi]
• Toward Predicting the Outcome of an A/B Experiment for Search RelevanceLihong Li, Jinyoung Kim, Imed Zitouni. 37-46 [doi]
• Optimal Space-time Tradeoffs for Inverted IndexesGiuseppe Ottaviano, Nicola Tonellotto, Rossano Venturini. 47-56 [doi]
• Understanding and Predicting Graded Search SatisfactionJiepu Jiang, Ahmed Hassan Awadallah, Xiaolin Shi, Ryen W. White. 57-66 [doi]
• Robust Tree-based Causal Inference for Complex Ad Effectiveness AnalysisPengyuan Wang, Wei Sun, Dawei Yin, Jian Yang, Yi Chang. 67-76 [doi]
• The Power of Random Neighbors in Social NetworksSilvio Lattanzi, Yaron Singer. 77-86 [doi]
• Negative Link Prediction in Social MediaJiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu. 87-96 [doi]
• Sarcasm Detection on Twitter: A Behavioral Modeling ApproachAshwin Rajadesingan, Reza Zafarani, Huan Liu. 97-106 [doi]
• Modeling and Predicting Retweeting Dynamics on Microblogging PlatformsShuai Gao, Jun Ma, Zhumin Chen. 107-116 [doi]
• On Integrating Network and Community DiscoveryJialu Liu, Charu C. Aggarwal, Jiawei Han. 117-126 [doi]
• On the Accuracy of Hyper-local Geotagging of Social Media ContentDavid Flatow, Mor Naaman, Ke Eddie Xie, Yana Volkovich, Yaron Kanza. 127-136 [doi]
• Learning from User InteractionsThorsten Joachims. 137-138 [doi]
• Learning to Recommend Related Entities to Search UsersBin Bi, Hao Ma, Bo-June (Paul) Hsu, Wei Chu, Kuansan Wang, Junghoo Cho. 139-148 [doi]
• h-index?: Scientific Impact PredictionYuxiao Dong, Reid A. Johnson, Nitesh V. Chawla. 149-158 [doi]
• Concept Graph Learning from Educational DataYiming Yang, Hanxiao Liu, Jaime G. Carbonell, Wanli Ma. 159-168 [doi]
• Review Synthesis for Micro-Review SummarizationThanh Son Nguyen, Hady Wirawan Lauw, Panayiotis Tsaparas. 169-178 [doi]
• Fast and Space-Efficient Entity Linking for QueriesRoi Blanco, Giuseppe Ottaviano, Edgar Meij. 179-188 [doi]
• On Tag Recommendation for Expertise Profiling: A Case Study in the Scientific DomainIsac S. Ribeiro, Rodrygo L. T. Santos, Marcos André Gonçalves, Alberto H. F. Laender. 189-198 [doi]
• FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative FilteringYao Wu, Martin Ester. 199-208 [doi]
• Semantic Matching in APP SearchJuchao Zhuo, Zeqian Huang, Yunfeng Liu, Zhanhui Kang, Xun Cao, Mingzhi Li, Long Jin. 209-210 [doi]
• Boosting Search with Deep Understanding of Contents and UsersKaihua Zhu. 211-212 [doi]
• Driven by Food: Modeling Geographic ChoiceRavi Kumar, Mohammad Mahdian, Bo Pang, Andrew Tomkins, Sergei Vassilvitskii. 213-222 [doi]
• Hiring Behavior Models for Online Labor MarketsMarios Kokkodis, Panagiotis Papadimitriou, Panagiotis G. Ipeirotis. 223-232 [doi]
• Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity StreamsKomal Kapoor, Karthik Subbian, Jaideep Srivastava, Paul R. Schrater. 233-242 [doi]
• Leveraging In-Batch Annotation Bias for Crowdsourced Active LearningHonglei Zhuang, Joel Young. 243-252 [doi]
• Listwise Approach for Rank Aggregation in CrowdsourcingShuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Lei Yu, Guoping Long. 253-262 [doi]
• WorkerRank: Using Employer Implicit Judgements to Infer Worker ReputationMaria Daltayanni, Luca de Alfaro, Panagiotis Papadimitriou 0002. 263-272 [doi]
• The Information Life of Social NetworksLada A. Adamic. 273-274 [doi]
• User Modeling for a Personal AssistantRamanathan Guha, Vineet Gupta, Vivek Raghunathan, Ramakrishnan Srikant. 275-284 [doi]
• Predicting The Next App That You Are Going To UseRicardo A. Baeza-Yates, Di Jiang, Fabrizio Silvestri, Beverly Harrison. 285-294 [doi]
• You Are Where You Go: Inferring Demographic Attributes from Location Check-insYuan Zhong, Nicholas Jing Yuan, Wen Zhong, Fuzheng Zhang, Xing Xie. 295-304 [doi]
• SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel LearningNing Chen, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao. 305-314 [doi]
• Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy PreferenceBin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin, Hui Xiong. 315-324 [doi]
• Inferring Movement Trajectories from GPS SnippetsMu Li, Amr Ahmed, Alexander J. Smola. 325-334 [doi]
• Regressing Towards Simpler Prediction SystemsTushar Chandra. 335-336 [doi]
• Global Optimization for Display AdRong Ji. 337-338 [doi]
• Back to the Past: Supporting Interpretations of Forgotten Stories by Time-aware Re-ContextualizationNam-Khanh Tran, Andrea Ceroni, Nattiya Kanhabua, Claudia Niederée. 339-348 [doi]
• Diluted Treatment Effect Estimation for Trigger Analysis in Online Controlled ExperimentsAlex Deng, Victor Hu. 349-358 [doi]
• Inverting a Steady-StateRavi Kumar, Andrew Tomkins, Sergei Vassilvitskii, Erik Vee. 359-368 [doi]
• Automatic Gloss Finding for a Knowledge Base using Ontological ConstraintsBhavana Bharat Dalvi, Einat Minkov, Partha Pratim Talukdar, William W. Cohen. 369-378 [doi]
• Finding Subgraphs with Maximum Total Density and Limited OverlapOana Denisa Balalau, Francesco Bonchi, T.-H. Hubert Chan, Francesco Gullo, Mauro Sozio. 379-388 [doi]
• Modeling Website Popularity Competition in the Attention-Activity MarketplaceBruno Ribeiro, Christos Faloutsos. 389-398 [doi]
• Exploring the Space of Topic Coherence MeasuresMichael Röder, Andreas Both, Alexander Hinneburg. 399-408 [doi]
• Dynamic Information Retrieval ModelingHui Yang, Marc Sloan, Jun Wang. 409-410 [doi]
• Scalability and Efficiency Challenges in Large-Scale Web Search EnginesBerkant Barla Cambazoglu, Ricardo A. Baeza-Yates. 411-412 [doi]
• Offline Evaluation and Optimization for Interactive SystemsLihong Li. 413-414 [doi]
• Real-Time Bidding: A New Frontier of Computational Advertising ResearchJun Wang, Shuai Yuan. 415-416 [doi]
• Learning About Health and Medicine from Internet DataElad Yom-Tov, Ingemar Johansson Cox, Vasileios Lampos. 417-418 [doi]
• Distributed Graph Algorithmics: Theory and PracticeSilvio Lattanzi, Vahab S. Mirrokni. 419-420 [doi]
• DL-WSDM'15: Workshop on Deep Learning for Web Search and Data MiningBin Gao, Jiang Bian. 421-422 [doi]
• HIA'15: Heterogeneous Information Access Workshop at WSDM 2015Ke Zhou, Roger Jie Luo, Djoerd Hiemstra, Joemon M. Jose. 423-424 [doi]
• WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and ApplicationsKaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu. 425-426 [doi]
• The 2nd workshop on Vertical Search Relevance at WSDM 2015Dawei Yin, Chih-Chieh Hung, Rui Li, Yi Chang. 427-428 [doi]
• An Approach to the Problem of Annotation of Research PublicationsEkaterina Chernyak. 429-434 [doi]
• Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized RecommendationYongfeng Zhang. 435-440 [doi]
• Mining Groups Stability in Ubiquitous and Social Environments: Communities, Classes and ClustersMark Kibanov. 441-446 [doi]
• Sentiment-Specific Representation Learning for Document-Level Sentiment AnalysisDuyu Tang. 447-452 [doi]
• Chronological Scientific Information Recommendation via Supervised Dynamic Topic ModelingZhuoren Jiang. 453-458 [doi]
• Topics, Tasks & Beyond: Learning Representations for PersonalizationRishabh Mehrotra. 459-464 [doi]