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Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015

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Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015

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Making Sense of Big Data with the Berkeley Data Analytics Stack
Michael J. Franklin

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New Directions in Recommender Systems
Jure Leskovec

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Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"?
Andrei Z. Broder | Lada A. Adamic | Michael J. Franklin | Maarten de Rijke | Eric P. Xing | Kai Yu

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Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search
Saehoon Kim | Yuxiong He | Seung-won Hwang | Sameh Elnikety | Seungjin Choi

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MergeRUCB: A Method for Large-Scale Online Ranker Evaluation
Masrour Zoghi | Shimon Whiteson | Maarten de Rijke

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Engagement Periodicity in Search Engine Usage: Analysis and its Application to Search Quality Evaluation
Alexey Drutsa | Gleb Gusev | Pavel Serdyukov

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Toward Predicting the Outcome of an A/B Experiment for Search Relevance
Lihong Li | Jinyoung Kim | Imed Zitouni

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Optimal Space-time Tradeoffs for Inverted Indexes
Giuseppe Ottaviano | Nicola Tonellotto | Rossano Venturini

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Understanding and Predicting Graded Search Satisfaction
Jiepu Jiang | Ahmed Hassan Awadallah | Xiaolin Shi | Ryen W. White

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Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis
Pengyuan Wang | Wei Sun | Dawei Yin | Jian Yang | Yi Chang

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The Power of Random Neighbors in Social Networks
Silvio Lattanzi | Yaron Singer

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Negative Link Prediction in Social Media
Jiliang Tang | Shiyu Chang | Charu C. Aggarwal | Huan Liu

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Sarcasm Detection on Twitter: A Behavioral Modeling Approach
Ashwin Rajadesingan | Reza Zafarani | Huan Liu

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Modeling and Predicting Retweeting Dynamics on Microblogging Platforms
Shuai Gao | Jun Ma | Zhumin Chen

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On Integrating Network and Community Discovery
Jialu Liu | Charu C. Aggarwal | Jiawei Han

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On the Accuracy of Hyper-local Geotagging of Social Media Content
David Flatow | Mor Naaman | Ke Eddie Xie | Yana Volkovich | Yaron Kanza

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Learning from User Interactions
Thorsten Joachims

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Learning to Recommend Related Entities to Search Users
Bin Bi | Hao Ma | Bo-June Paul Hsu | Wei Chu | Kuansan Wang | Junghoo Cho

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Will This Paper Increase Your h-index?: Scientific Impact Prediction
Yuxiao Dong | Reid A. Johnson | Nitesh V. Chawla

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Concept Graph Learning from Educational Data
Yiming Yang | Hanxiao Liu | Jaime G. Carbonell | Wanli Ma

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Review Synthesis for Micro-Review Summarization
Thanh-Son Nguyen | Hady Wirawan Lauw | Panayiotis Tsaparas

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Fast and Space-Efficient Entity Linking for Queries
Roi Blanco | Giuseppe Ottaviano | Edgar Meij

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On Tag Recommendation for Expertise Profiling: A Case Study in the Scientific Domain
Isac S. Ribeiro | Rodrygo L. T. Santos | Marcos André Gonçalves | Alberto H. F. Laender

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FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering
Yao Wu | Martin Ester

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Semantic Matching in APP Search
Juchao Zhuo | Zeqian Huang | Yunfeng Liu | Zhanhui Kang | Xun Cao | Mingzhi Li | Long Jin

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Boosting Search with Deep Understanding of Contents and Users
Kaihua Zhu

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Driven by Food: Modeling Geographic Choice
Ravi Kumar | Mohammad Mahdian | Bo Pang | Andrew Tomkins | Sergei Vassilvitskii

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Hiring Behavior Models for Online Labor Markets
Marios Kokkodis | Panagiotis Papadimitriou | Panagiotis G. Ipeirotis

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Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams
Komal Kapoor | Karthik Subbian | Jaideep Srivastava | Paul R. Schrater

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Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning
Honglei Zhuang | Joel Young

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Listwise Approach for Rank Aggregation in Crowdsourcing
Shuzi Niu | Yanyan Lan | Jiafeng Guo | Xueqi Cheng | Lei Yu | Guoping Long

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WorkerRank: Using Employer Implicit Judgements to Infer Worker Reputation
Maria Daltayanni | Luca de Alfaro | Panagiotis Papadimitriou

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The Information Life of Social Networks
Lada A. Adamic

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User Modeling for a Personal Assistant
Ramanathan V. Guha | Vineet Gupta | Vivek Raghunathan | Ramakrishnan Srikant

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Predicting The Next App That You Are Going To Use
Ricardo Baeza-Yates | Di Jiang | Fabrizio Silvestri | Beverly Harrison

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You Are Where You Go: Inferring Demographic Attributes from Location Check-ins
Yuan Zhong | Nicholas Jing Yuan | Wen Zhong | Fuzheng Zhang | Xing Xie

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SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning
Ning Chen | Steven C. H. Hoi | Shaohua Li | Xiaokui Xiao

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Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference
Bin Liu | Deguang Kong | Lei Cen | Neil Zhenqiang Gong | Hongxia Jin | Hui Xiong

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Inferring Movement Trajectories from GPS Snippets
Mu Li | Amr Ahmed | Alexander J. Smola

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Regressing Towards Simpler Prediction Systems
Tushar Chandra

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Global Optimization for Display Ad
Rong Ji

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Back to the Past: Supporting Interpretations of Forgotten Stories by Time-aware Re-Contextualization
Nam Khanh Tran | Andrea Ceroni | Nattiya Kanhabua | Claudia Niederée

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Diluted Treatment Effect Estimation for Trigger Analysis in Online Controlled Experiments
Alex Deng | Victor Hu

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Inverting a Steady-State
Ravi Kumar | Andrew Tomkins | Sergei Vassilvitskii | Erik Vee

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Automatic Gloss Finding for a Knowledge Base using Ontological Constraints
Bhavana Bharat Dalvi | Einat Minkov | Partha Pratim Talukdar | William W. Cohen

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Finding Subgraphs with Maximum Total Density and Limited Overlap
Oana Denisa Balalau | Francesco Bonchi | T.-H. Hubert Chan | Francesco Gullo | Mauro Sozio

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Modeling Website Popularity Competition in the Attention-Activity Marketplace
Bruno Ribeiro | Christos Faloutsos

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Exploring the Space of Topic Coherence Measures
Michael Röder | Andreas Both | Alexander Hinneburg

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Dynamic Information Retrieval Modeling
Hui Yang | Marc Sloan | Jun Wang

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Scalability and Efficiency Challenges in Large-Scale Web Search Engines
Berkant Barla Cambazoglu | Ricardo Baeza-Yates

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Offline Evaluation and Optimization for Interactive Systems
Lihong Li

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Real-Time Bidding: A New Frontier of Computational Advertising Research
Jun Wang | Shuai Yuan

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Learning About Health and Medicine from Internet Data
Elad Yom-Tov | Ingemar Johansson Cox | Vasileios Lampos

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Distributed Graph Algorithmics: Theory and Practice
Silvio Lattanzi | Vahab S. Mirrokni

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DL-WSDM'15: Workshop on Deep Learning for Web Search and Data Mining
Bin Gao | Jiang Bian

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HIA'15: Heterogeneous Information Access Workshop at WSDM 2015
Ke Zhou | Roger Jie Luo | Djoerd Hiemstra | Joemon M. Jose

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WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications
Kaizhu Huang | Haiqin Yang | Irwin King | Michael R. Lyu

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The 2nd workshop on Vertical Search Relevance at WSDM 2015
Dawei Yin | Chih-Chieh Hung | Rui Li | Yi Chang

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An Approach to the Problem of Annotation of Research Publications
Ekaterina Chernyak

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Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation
Yongfeng Zhang

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Mining Groups Stability in Ubiquitous and Social Environments: Communities, Classes and Clusters
Mark Kibanov

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Sentiment-Specific Representation Learning for Document-Level Sentiment Analysis
Duyu Tang

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Chronological Scientific Information Recommendation via Supervised Dynamic Topic Modeling
Zhuoren Jiang

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Topics, Tasks & Beyond: Learning Representations for Personalization
Rishabh Mehrotra