Workshop on Recommender Systems and the Social Web
The exponential growth of the Social Web poses both challenges and new opportunities for recommender systems research. The Social Web has turned information consumers into active contributors creating massive amounts of information. Finding relevant and interesting content at the right time and in the right context is challenging for existing recommender approaches. At the same time, social systems by their definition encourage interaction between users and both online content and other users, thus generating new sources of knowledge for recommender systems. Users of social media on the Web often explicitly provide personal information or implicitly express preferences through their interactions with other users or with resources (e.g. tagging, friending, rating, commenting, etc.).
This Social Web therefore provides huge opportunities for recommender technology and in turn recommender technologies can play a part in fuelling the success of the Social Web phenomenon.
Organizers
- Bamshad Mobasher (DePaul University, USA)
- Dietmar Jannach (TU Dortmund, Germany)
- Werner Geyer (IBM Research, Cambridge, MA, USA)
- Andreas Hotho (University of Würzburg , Germany)
Workshop Date
September 9, 2012
Web site
Sponsors and Benefactors
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