3rd Workshop on Recommender Systems and the Social Web

The exponential growth of the social web continues to pose challenges and opportunities for recommender systems. 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. Web 2.0 users explicitly provide personal information and implicitly express preferences through their interactions with others and the system (e.g. commenting, friending, rating, etc.). These various new sources of knowledge can be leveraged to improve recommendation techniques and develop new strategies which focus on social recommendation. The Social Web provides huge opportunities for recommender technology and in turn recommender technologies can play a part in fuelling the success of the Social Web phenomenon. The goal of this workshop, the third in the series, was to bring together researcher and practitioners to explore, discuss, and understand challenges and new opportunities for recommender systems and the Social Web.

  • Jill Freyne (CSIRO, Tasmanian ICT Centre, Australia)
  • Sarabjot Singh Anand (Department of Computer Science, University of Warwick, UK)
  • Ido Guy (IBM Research, Haifa, Israel)
  • Andreas Hotho (University of W├╝rzburg , Germany)
Workshop Date

October 23, 2011

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