Social Recommender Systems

  • Social Recommender Systems
  • Tuesday, 8th, 9:00~12:30, Room 301 A
  • Presenter: Ido Guy (IBM Research)
  • Abstract
    In recent years, with the proliferation of the social web, users are exposed to an intensively growing social overload. Social recommender systems aim to address this overload and are becoming integral part of virtually any leading website, playing a key factor in its success. In this tutorial, we will review the broad domain of social recommender systems, the underlying techniques and methodologies; the data in use, recommended entities, and target population; evaluation techniques; applications; and open issues and challenges.
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