Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015
Xueqi Cheng, Hang Li, Evgeniy Gabrilovich, Jie Tang (Editors)
- Anthology ID:
- 2015.wsdm_conference-2015
- Year:
- 2015
- Venue:
- wsdm_conference
- Publisher:
- ACM
- URL:
- https://doi.org/10.1145/2684822
- DOI:
- 10.1145/2684822
- DBLP:
- conf/wsdm/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
|
Lada A. Adamic
|
Michael J. Franklin
|
Maarten de Rijke
|
Eric P. Xing
|
Kai Yu
Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search
Saehoon Kim
|
Yuxiong He
|
Seung-won Hwang
|
Sameh Elnikety
|
Seungjin Choi
MergeRUCB: A Method for Large-Scale Online Ranker Evaluation
Masrour Zoghi
|
Shimon Whiteson
|
Maarten de Rijke
Engagement Periodicity in Search Engine Usage: Analysis and its Application to Search Quality Evaluation
Alexey Drutsa
|
Gleb Gusev
|
Pavel Serdyukov
Toward Predicting the Outcome of an A/B Experiment for Search Relevance
Lihong Li
|
Jin Young Kim
|
Imed Zitouni
Optimal Space-time Tradeoffs for Inverted Indexes
Giuseppe Ottaviano
|
Nicola Tonellotto
|
Rossano Venturini
Understanding and Predicting Graded Search Satisfaction
Jiepu Jiang
|
Ahmed Hassan Awadallah
|
Xiaolin Shi
|
Ryen W. White
Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis
Pengyuan Wang
|
Wei Sun
|
Dawei Yin
|
Jian Yang
|
Yi Chang
The Power of Random Neighbors in Social Networks
Silvio Lattanzi
|
Yaron Singer
Negative Link Prediction in Social Media
Jiliang Tang
|
Shiyu Chang
|
Charu C. Aggarwal
|
Huan Liu
Sarcasm Detection on Twitter: A Behavioral Modeling Approach
Ashwin Rajadesingan
|
Reza Zafarani
|
Huan Liu
Modeling and Predicting Retweeting Dynamics on Microblogging Platforms
Shuai Gao
|
Jun Ma
|
Zhumin Chen
On Integrating Network and Community Discovery
Jialu Liu
|
Charu C. Aggarwal
|
Jiawei Han
On the Accuracy of Hyper-local Geotagging of Social Media Content
David Flatow
|
Mor Naaman
|
Ke Eddie Xie
|
Yana Volkovich
|
Yaron Kanza
Learning from User Interactions
Thorsten Joachims
Learning to Recommend Related Entities to Search Users
Bin Bi
|
Hao Ma
|
Bo-June Paul Hsu
|
Wei Chu
|
Kuansan Wang
|
Junghoo Cho
Will This Paper Increase Your h-index?: Scientific Impact Prediction
Yuxiao Dong
|
Reid A. Johnson
|
Nitesh V. Chawla
Concept Graph Learning from Educational Data
Yiming Yang
|
Hanxiao Liu
|
Jaime G. Carbonell
|
Wanli Ma
Review Synthesis for Micro-Review Summarization
Thanh-Son Nguyen
|
Hady Wirawan Lauw
|
Panayiotis Tsaparas
Fast and Space-Efficient Entity Linking for Queries
Roi Blanco
|
Giuseppe Ottaviano
|
Edgar Meij
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
FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering
Yao Wu
|
Martin Ester
Semantic Matching in APP Search
Juchao Zhuo
|
Zeqian Huang
|
Yunfeng Liu
|
Zhanhui Kang
|
Xun Cao
|
Mingzhi Li
|
Long Jin
Boosting Search with Deep Understanding of Contents and Users
Kaihua Zhu
Driven by Food: Modeling Geographic Choice
Ravi Kumar
|
Mohammad Mahdian
|
Bo Pang
|
Andrew Tomkins
|
Sergei Vassilvitskii
Hiring Behavior Models for Online Labor Markets
Marios Kokkodis
|
Panagiotis Papadimitriou
|
Panagiotis G. Ipeirotis
Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams
Komal Kapoor
|
Karthik Subbian
|
Jaideep Srivastava
|
Paul R. Schrater
Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning
Honglei Zhuang
|
Joel Young
Listwise Approach for Rank Aggregation in Crowdsourcing
Shuzi Niu
|
Yanyan Lan
|
Jiafeng Guo
|
Xueqi Cheng
|
Lei Yu
|
Guoping Long
WorkerRank: Using Employer Implicit Judgements to Infer Worker Reputation
Maria Daltayanni
|
Luca de Alfaro
|
Panagiotis Papadimitriou
The Information Life of Social Networks
Lada A. Adamic
User Modeling for a Personal Assistant
Ramanathan V. Guha
|
Vineet Gupta
|
Vivek Raghunathan
|
Ramakrishnan Srikant
Predicting The Next App That You Are Going To Use
Ricardo Baeza-Yates
|
Di Jiang
|
Fabrizio Silvestri
|
Beverly Harrison
You Are Where You Go: Inferring Demographic Attributes from Location Check-ins
Yuan Zhong
|
Nicholas Jing Yuan
|
Wen Zhong
|
Fuzheng Zhang
|
Xing Xie
SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning
Ning Chen
|
Steven C. H. Hoi
|
Shaohua Li
|
Xiaokui Xiao
Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference
Bin Liu
|
Deguang Kong
|
Lei Cen
|
Neil Zhenqiang Gong
|
Hongxia Jin
|
Hui Xiong
Inferring Movement Trajectories from GPS Snippets
Mu Li
|
Amr Ahmed
|
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
|
Andrea Ceroni
|
Nattiya Kanhabua
|
Claudia Niederée
Diluted Treatment Effect Estimation for Trigger Analysis in Online Controlled Experiments
Alex Deng
|
Victor Hu
Inverting a Steady-State
Ravi Kumar
|
Andrew Tomkins
|
Sergei Vassilvitskii
|
Erik Vee
Automatic Gloss Finding for a Knowledge Base using Ontological Constraints
Bhavana Bharat Dalvi
|
Einat Minkov
|
Partha Pratim Talukdar
|
William W. Cohen
Finding Subgraphs with Maximum Total Density and Limited Overlap
Oana Denisa Balalau
|
Francesco Bonchi
|
T.-H. Hubert Chan
|
Francesco Gullo
|
Mauro Sozio
Modeling Website Popularity Competition in the Attention-Activity Marketplace
Bruno Ribeiro
|
Christos Faloutsos
Exploring the Space of Topic Coherence Measures
Michael Röder
|
Andreas Both
|
Alexander Hinneburg
Dynamic Information Retrieval Modeling
Hui Yang
|
Marc Sloan
|
Jun Wang
Scalability and Efficiency Challenges in Large-Scale Web Search Engines
Berkant Barla Cambazoglu
|
Ricardo Baeza-Yates
Offline Evaluation and Optimization for Interactive Systems
Lihong Li
Real-Time Bidding: A New Frontier of Computational Advertising Research
Jun Wang
|
Shuai Yuan
Learning About Health and Medicine from Internet Data
Elad Yom-Tov
|
Ingemar Johansson Cox
|
Vasileios Lampos
Distributed Graph Algorithmics: Theory and Practice
Silvio Lattanzi
|
Vahab S. Mirrokni
DL-WSDM'15: Workshop on Deep Learning for Web Search and Data Mining
Bin Gao
|
Jiang Bian
HIA'15: Heterogeneous Information Access Workshop at WSDM 2015
Ke Zhou
|
Roger Jie Luo
|
Djoerd Hiemstra
|
Joemon M. Jose
WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications
Kaizhu Huang
|
Haiqin Yang
|
Irwin King
|
Michael R. Lyu
The 2nd workshop on Vertical Search Relevance at WSDM 2015
Dawei Yin
|
Chih-Chieh Hung
|
Rui Li
|
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