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ORCID8th WSDM 2015: Shanghai, China
- Xueqi Cheng, Hang Li, Evgeniy Gabrilovich, Jie Tang:
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015. ACM 2015, ISBN 978-1-4503-3317-7
Keynote Address
- Michael J. Franklin:
Making Sense of Big Data with the Berkeley Data Analytics Stack. 1-2
Session 1: Practice & Experience Talk + Panel on Large Scale Data Understanding
- Jure Leskovec:
New Directions in Recommender Systems. 3-4 - Andrei Z. Broder, Lada A. Adamic, Michael J. Franklin, Maarten de Rijke, Eric P. Xing, Kai Yu:
Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"? 5-6
Session 2: Web Search
- Saehoon Kim, Yuxiong He, Seung-won Hwang, Sameh Elnikety, Seungjin Choi:
Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search. 7-16 - Masrour Zoghi, Shimon Whiteson, Maarten de Rijke
:
MergeRUCB: A Method for Large-Scale Online Ranker Evaluation. 17-26 - Alexey Drutsa, Gleb Gusev, Pavel Serdyukov:
Engagement Periodicity in Search Engine Usage: Analysis and its Application to Search Quality Evaluation. 27-36 - Lihong Li, Jin Young Kim, Imed Zitouni:
Toward Predicting the Outcome of an A/B Experiment for Search Relevance. 37-46 - Giuseppe Ottaviano, Nicola Tonellotto, Rossano Venturini:
Optimal Space-time Tradeoffs for Inverted Indexes. 47-56 - Jiepu Jiang, Ahmed Hassan Awadallah, Xiaolin Shi, Ryen W. White:
Understanding and Predicting Graded Search Satisfaction. 57-66 - Pengyuan Wang, Wei Sun, Dawei Yin, Jian Yang, Yi Chang:
Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis. 67-76
Session 3: Social Networks
- Silvio Lattanzi, Yaron Singer:
The Power of Random Neighbors in Social Networks. 77-86 - Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu:
Negative Link Prediction in Social Media. 87-96 - Ashwin Rajadesingan, Reza Zafarani, Huan Liu:
Sarcasm Detection on Twitter: A Behavioral Modeling Approach. 97-106 - Shuai Gao, Jun Ma, Zhumin Chen:
Modeling and Predicting Retweeting Dynamics on Microblogging Platforms. 107-116 - Jialu Liu, Charu C. Aggarwal, Jiawei Han:
On Integrating Network and Community Discovery. 117-126 - David Flatow, Mor Naaman, Ke Eddie Xie, Yana Volkovich, Yaron Kanza:
On the Accuracy of Hyper-local Geotagging of Social Media Content. 127-136
Keynote Address 3
- Thorsten Joachims:
Learning from User Interactions. 137-138
Session 4: Web Mining
- Bin Bi, Hao Ma, Bo-June Paul Hsu, Wei Chu, Kuansan Wang, Junghoo Cho:
Learning to Recommend Related Entities to Search Users. 139-148 - Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla:
Will This Paper Increase Your h-index?: Scientific Impact Prediction. 149-158 - Yiming Yang, Hanxiao Liu, Jaime G. Carbonell, Wanli Ma:
Concept Graph Learning from Educational Data. 159-168 - Thanh-Son Nguyen, Hady Wirawan Lauw, Panayiotis Tsaparas:
Review Synthesis for Micro-Review Summarization. 169-178 - Roi Blanco, Giuseppe Ottaviano, Edgar Meij:
Fast and Space-Efficient Entity Linking for Queries. 179-188 - Isac S. Ribeiro, Rodrygo L. T. Santos, Marcos André Gonçalves, Alberto H. F. Laender:
On Tag Recommendation for Expertise Profiling: A Case Study in the Scientific Domain. 189-198 - Yao Wu, Martin Ester:
FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering. 199-208
Session 5: Practice & Experience Talks
- Juchao Zhuo, Zeqian Huang, Yunfeng Liu, Zhanhui Kang, Xun Cao, Mingzhi Li, Long Jin:
Semantic Matching in APP Search. 209-210 - Kaihua Zhu:
Boosting Search with Deep Understanding of Contents and Users. 211-212
Session 6: Crowdsourcing, Temporal and Location-based mining
- Ravi Kumar, Mohammad Mahdian, Bo Pang, Andrew Tomkins, Sergei Vassilvitskii:
Driven by Food: Modeling Geographic Choice. 213-222 - Marios Kokkodis, Panagiotis Papadimitriou, Panagiotis G. Ipeirotis:
Hiring Behavior Models for Online Labor Markets. 223-232 - Komal Kapoor, Karthik Subbian, Jaideep Srivastava, Paul R. Schrater:
Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams. 233-242 - Honglei Zhuang, Joel Young:
Leveraging In-Batch Annotation Bias for Crowdsourced Active Learning. 243-252 - Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Lei Yu, Guoping Long:
Listwise Approach for Rank Aggregation in Crowdsourcing. 253-262 - Maria Daltayanni, Luca de Alfaro, Panagiotis Papadimitriou:
WorkerRank: Using Employer Implicit Judgements to Infer Worker Reputation. 263-272
Keynote Address 2
- Lada A. Adamic:
The Information Life of Social Networks. 273-274
Session 7: User Modeling, Mobility, and Recommendations
- Ramanathan V. Guha, Vineet Gupta, Vivek Raghunathan, Ramakrishnan Srikant:
User Modeling for a Personal Assistant. 275-284 - Ricardo Baeza-Yates, Di Jiang, Fabrizio Silvestri, Beverly Harrison:
Predicting The Next App That You Are Going To Use. 285-294 - Yuan Zhong, Nicholas Jing Yuan, Wen Zhong, Fuzheng Zhang, Xing Xie:
You Are Where You Go: Inferring Demographic Attributes from Location Check-ins. 295-304 - Ning Chen, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao:
SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning. 305-314 - Bin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin, Hui Xiong:
Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference. 315-324 - Mu Li, Amr Ahmed, Alexander J. Smola:
Inferring Movement Trajectories from GPS Snippets. 325-334
Session 8: Practice & Experience Talks
- Tushar Chandra:
Regressing Towards Simpler Prediction Systems. 335-336 - Rong Ji:
Global Optimization for Display Ad. 337-338
Session 9: Web Mining (2)
- Nam Khanh Tran, Andrea Ceroni, Nattiya Kanhabua, Claudia Niederée:
Back to the Past: Supporting Interpretations of Forgotten Stories by Time-aware Re-Contextualization. 339-348 - Alex Deng, Victor Hu:
Diluted Treatment Effect Estimation for Trigger Analysis in Online Controlled Experiments. 349-358 - Ravi Kumar, Andrew Tomkins, Sergei Vassilvitskii, Erik Vee:
Inverting a Steady-State. 359-368 - Bhavana Bharat Dalvi, Einat Minkov, Partha Pratim Talukdar, William W. Cohen:
Automatic Gloss Finding for a Knowledge Base using Ontological Constraints. 369-378 - Oana Denisa Balalau, Francesco Bonchi, T.-H. Hubert Chan, Francesco Gullo, Mauro Sozio:
Finding Subgraphs with Maximum Total Density and Limited Overlap. 379-388 - Bruno Ribeiro, Christos Faloutsos:
Modeling Website Popularity Competition in the Attention-Activity Marketplace. 389-398 - Michael Röder, Andreas Both, Alexander Hinneburg:
Exploring the Space of Topic Coherence Measures. 399-408
Tutorials
- Hui Yang, Marc Sloan, Jun Wang:
Dynamic Information Retrieval Modeling. 409-410 - Berkant Barla Cambazoglu, Ricardo Baeza-Yates:
Scalability and Efficiency Challenges in Large-Scale Web Search Engines. 411-412 - Lihong Li:
Offline Evaluation and Optimization for Interactive Systems. 413-414 - Jun Wang, Shuai Yuan:
Real-Time Bidding: A New Frontier of Computational Advertising Research. 415-416 - Elad Yom-Tov, Ingemar Johansson Cox, Vasileios Lampos:
Learning About Health and Medicine from Internet Data. 417-418 - Silvio Lattanzi, Vahab S. Mirrokni:
Distributed Graph Algorithmics: Theory and Practice. 419-420
Workshop Summaries
- Bin Gao, Jiang Bian:
DL-WSDM'15: Workshop on Deep Learning for Web Search and Data Mining. 421-422 - Ke Zhou, Roger Jie Luo, Djoerd Hiemstra, Joemon M. Jose:
HIA'15: Heterogeneous Information Access Workshop at WSDM 2015. 423-424 - Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications. 425-426 - Dawei Yin, Chih-Chieh Hung, Rui Li, Yi Chang:
The 2nd workshop on Vertical Search Relevance at WSDM 2015. 427-428
Doctoral Consortium
- Ekaterina Chernyak:
An Approach to the Problem of Annotation of Research Publications. 429-434 - Yongfeng Zhang:
Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation. 435-440 - Mark Kibanov:
Mining Groups Stability in Ubiquitous and Social Environments: Communities, Classes and Clusters. 441-446 - Duyu Tang:
Sentiment-Specific Representation Learning for Document-Level Sentiment Analysis. 447-452 - Zhuoren Jiang:
Chronological Scientific Information Recommendation via Supervised Dynamic Topic Modeling. 453-458 - Rishabh Mehrotra:
Topics, Tasks & Beyond: Learning Representations for Personalization. 459-464
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