The multitude of rich information sources available on the Web today provides wonderful opportunities and challenges to Web mining for a diverse range of applications: constructing large knowledge bases, predicting the future, finding trends and epidemic in a population, marketing and recommendation, as well as filtering and cleaning Web content to improve the experience of users consuming it. This track covers data analysis for a wide variety of Web data including tweets, tags, links, logs, images, videos, and other multimodal data.
We welcome submissions of original high-quality research papers related to all aspects of Web Mining, including, but not limited to, the topics below.
- Large-scale analysis of web data, including text, image, video, and metadata
- Web measurements, evolution and models
- Clustering, classification, and summarization of Web data
- Multimodal Web content mining
- Entity, event and relationship extraction from Web data
- Data integration and data cleaning
- Traffic and log analysis
- Web mining for prediction and recommendation
- Algorithms and systems for Web-scale mining
- Learning representations and features from Web data
- Novel Web mining applications
For questions related to this call, please email: webmining@www2016.ca
Area Chairs
- Yizhou Sun, Northeastern University, USA
- Yutaka Matsuo, University of Tokyo, Japan
Program Committee
- Takuya Akiba, National Institute of Informatics
- Azin Ashkan, Technicolor Labs
- Timothy Baldwin, The University of Melbourne
- Roberto Bayardo, Google Research
- Michael Bendersky, Google, Inc.
- Rui Cai, Microsoft Research, Asia
- Qi He, LinkedIn
- Xiangnan He, National University of Singapore
- Liangjie Hong, Yahoo! Labs
- Xia Hu, Texas A&M University
- Adam Jatowt, Kyoto University
- Akihiro Kishimoto, IBM
- Arnd Christian König, Microsoft Research
- Yehuda Koren, Google
- Wai Lam, The Chinese University of Hong Kong
- Hady Lauw, Singapore Management University
- Chengkai Li, University of Texas at Arlington
- Lei Liu, HP Labs
- Huan Liu, Professor, Arizona State University
- Michael Lyu, the Chinese University of Hong Kong
- Hao Ma, Microsoft Research
- Arjun Mukherjee, University of Houston
- Olfa Nasraoui, University of Louisville
- Alexandros Ntoulas, Zynga
- Jian Pei, Simon Fraser University
- Takeshi Sakaki, University of Tokyo
- Tamas Sarlos, Google
- H. Andrew Schwartz, University of Pennsylvania
- Myra Spiliopoulou, Otto-von-Guericke-University Magdeburg
- Chenhao Tan, Cornell University
- Jian Tang, Microsoft Research Asia
- Fujio Toriumi, University of Tokyo
- Masashi Toyoda, University of Tokyo
- Jianyong Wang, Tsinghua University
- Hongning Wang, University of Virginia
- Ke Wang, Simon Fraser University
- Tim Weninger, University of Notre Dame
- Jaewon Yang, Stanford University
- Xiao Yu, Google Research
- Philip Yu, University of Illinois at Chicago
- Jeffery Xu Yu, Department of Systems Engineering & Engineering Management, Chinese University of Hong Kong
- Zhe Zhao, University of Michigan, Ann Arbor
- Feida Zhu, Singapore Management University
