Conference on Web Search and Data Mining (2015)
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015
Making Sense of Big Data with the Berkeley Data Analytics Stack
Michael J. Franklin
New Directions in Recommender Systems
Jure Leskovec
Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"?
Andrei Z. Broder
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Lada A. Adamic
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Michael J. Franklin
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Maarten de Rijke
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Eric P. Xing
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Kai Yu
Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search
Saehoon Kim
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Yuxiong He
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Seung-won Hwang
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Sameh Elnikety
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Seungjin Choi
MergeRUCB: A Method for Large-Scale Online Ranker Evaluation
Masrour Zoghi
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Shimon Whiteson
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Maarten de Rijke
Engagement Periodicity in Search Engine Usage: Analysis and its Application to Search Quality Evaluation
Alexey Drutsa
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Gleb Gusev
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Pavel Serdyukov
Toward Predicting the Outcome of an A/B Experiment for Search Relevance
Lihong Li
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Jin Young Kim
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Imed Zitouni
Optimal Space-time Tradeoffs for Inverted Indexes
Giuseppe Ottaviano
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Nicola Tonellotto
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Rossano Venturini
Understanding and Predicting Graded Search Satisfaction
Jiepu Jiang
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Ahmed Hassan Awadallah
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Xiaolin Shi
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Ryen W. White
Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis
Pengyuan Wang
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Wei Sun
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Dawei Yin
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Jian Yang
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Yi Chang
The Power of Random Neighbors in Social Networks
Silvio Lattanzi
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Yaron Singer
Negative Link Prediction in Social Media
Jiliang Tang
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Shiyu Chang
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Charu C. Aggarwal
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Huan Liu
Sarcasm Detection on Twitter: A Behavioral Modeling Approach
Ashwin Rajadesingan
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Reza Zafarani
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Huan Liu
Modeling and Predicting Retweeting Dynamics on Microblogging Platforms
Shuai Gao
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Jun Ma
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Zhumin Chen
On Integrating Network and Community Discovery
Jialu Liu
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Charu C. Aggarwal
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Jiawei Han
On the Accuracy of Hyper-local Geotagging of Social Media Content
David Flatow
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Mor Naaman
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Ke Eddie Xie
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Yana Volkovich
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Yaron Kanza
Learning from User Interactions
Thorsten Joachims
Learning to Recommend Related Entities to Search Users
Bin Bi
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Hao Ma
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Bo-June Paul Hsu
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Wei Chu
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Kuansan Wang
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Junghoo Cho
Will This Paper Increase Your h-index?: Scientific Impact Prediction
Yuxiao Dong
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Reid A. Johnson
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Nitesh V. Chawla
Concept Graph Learning from Educational Data
Yiming Yang
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Hanxiao Liu
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Jaime G. Carbonell
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Wanli Ma
Review Synthesis for Micro-Review Summarization
Thanh-Son Nguyen
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Hady Wirawan Lauw
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Panayiotis Tsaparas
Fast and Space-Efficient Entity Linking for Queries
Roi Blanco
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Giuseppe Ottaviano
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Edgar Meij
On Tag Recommendation for Expertise Profiling: A Case Study in the Scientific Domain
Isac S. Ribeiro
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Rodrygo L. T. Santos
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Marcos André Gonçalves
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Alberto H. F. Laender
FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering
Yao Wu
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Martin Ester
Semantic Matching in APP Search
Juchao Zhuo
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Zeqian Huang
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Yunfeng Liu
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Zhanhui Kang
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Xun Cao
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Mingzhi Li
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Long Jin
Boosting Search with Deep Understanding of Contents and Users
Kaihua Zhu
Driven by Food: Modeling Geographic Choice
Ravi Kumar
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Mohammad Mahdian
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Bo Pang
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Andrew Tomkins
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Sergei Vassilvitskii
Hiring Behavior Models for Online Labor Markets
Marios Kokkodis
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Panagiotis Papadimitriou
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Panagiotis G. Ipeirotis
Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams
Komal Kapoor
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Karthik Subbian
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Jaideep Srivastava
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Paul R. Schrater
Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning
Honglei Zhuang
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Joel Young
Listwise Approach for Rank Aggregation in Crowdsourcing
Shuzi Niu
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Yanyan Lan
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Jiafeng Guo
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Xueqi Cheng
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Lei Yu
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Guoping Long
WorkerRank: Using Employer Implicit Judgements to Infer Worker Reputation
Maria Daltayanni
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Luca de Alfaro
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Panagiotis Papadimitriou
The Information Life of Social Networks
Lada A. Adamic
User Modeling for a Personal Assistant
Ramanathan V. Guha
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Vineet Gupta
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Vivek Raghunathan
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Ramakrishnan Srikant
Predicting The Next App That You Are Going To Use
Ricardo Baeza-Yates
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Di Jiang
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Fabrizio Silvestri
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Beverly Harrison
You Are Where You Go: Inferring Demographic Attributes from Location Check-ins
Yuan Zhong
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Nicholas Jing Yuan
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Wen Zhong
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Fuzheng Zhang
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Xing Xie
SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning
Ning Chen
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Steven C. H. Hoi
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Shaohua Li
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Xiaokui Xiao
Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference
Bin Liu
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Deguang Kong
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Lei Cen
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Neil Zhenqiang Gong
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Hongxia Jin
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Hui Xiong
Inferring Movement Trajectories from GPS Snippets
Mu Li
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Amr Ahmed
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Alexander J. Smola
Regressing Towards Simpler Prediction Systems
Tushar Chandra
Global Optimization for Display Ad
Rong Ji
Back to the Past: Supporting Interpretations of Forgotten Stories by Time-aware Re-Contextualization
Nam Khanh Tran
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Andrea Ceroni
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Nattiya Kanhabua
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Claudia Niederée
Diluted Treatment Effect Estimation for Trigger Analysis in Online Controlled Experiments
Alex Deng
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Victor Hu
Inverting a Steady-State
Ravi Kumar
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Andrew Tomkins
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Sergei Vassilvitskii
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Erik Vee
Automatic Gloss Finding for a Knowledge Base using Ontological Constraints
Bhavana Bharat Dalvi
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Einat Minkov
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Partha Pratim Talukdar
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William W. Cohen
Finding Subgraphs with Maximum Total Density and Limited Overlap
Oana Denisa Balalau
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Francesco Bonchi
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T.-H. Hubert Chan
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Francesco Gullo
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Mauro Sozio
Modeling Website Popularity Competition in the Attention-Activity Marketplace
Bruno Ribeiro
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Christos Faloutsos
Exploring the Space of Topic Coherence Measures
Michael Röder
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Andreas Both
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Alexander Hinneburg
Dynamic Information Retrieval Modeling
Hui Yang
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Marc Sloan
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Jun Wang
Scalability and Efficiency Challenges in Large-Scale Web Search Engines
Berkant Barla Cambazoglu
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Ricardo Baeza-Yates
Offline Evaluation and Optimization for Interactive Systems
Lihong Li
Real-Time Bidding: A New Frontier of Computational Advertising Research
Jun Wang
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Shuai Yuan
Learning About Health and Medicine from Internet Data
Elad Yom-Tov
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Ingemar Johansson Cox
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Vasileios Lampos
Distributed Graph Algorithmics: Theory and Practice
Silvio Lattanzi
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Vahab S. Mirrokni
DL-WSDM'15: Workshop on Deep Learning for Web Search and Data Mining
Bin Gao
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Jiang Bian
HIA'15: Heterogeneous Information Access Workshop at WSDM 2015
Ke Zhou
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Roger Jie Luo
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Djoerd Hiemstra
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Joemon M. Jose
WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications
Kaizhu Huang
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Haiqin Yang
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Irwin King
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Michael R. Lyu
The 2nd workshop on Vertical Search Relevance at WSDM 2015
Dawei Yin
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Chih-Chieh Hung
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Rui Li
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Yi Chang
An Approach to the Problem of Annotation of Research Publications
Ekaterina Chernyak
Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation
Yongfeng Zhang
Mining Groups Stability in Ubiquitous and Social Environments: Communities, Classes and Clusters
Mark Kibanov
Sentiment-Specific Representation Learning for Document-Level Sentiment Analysis
Duyu Tang
Chronological Scientific Information Recommendation via Supervised Dynamic Topic Modeling
Zhuoren Jiang
Topics, Tasks & Beyond: Learning Representations for Personalization
Rishabh Mehrotra