Workshop on New Trends in Content-based Recommender Systems

The CBRecSys 2016 workshop aims to provide a dedicated venue for papers dedicated to all aspects of content-based recommendation. This includes recommendation in domains where textual content is abundant (e.g., books, news, scientific articles, jobs, educational resources, Web pages, etc.) as well as dedicated comparisons of content-based techniques with collaborative filtering in different domains. Other relevant topics related to content-based recommendations could include opinion mining for text/book recommendation, semantic recommendation, content-based recommendation to alleviate cold-start problems, deep learning for content representation, as well as serendipity, diversity and cross-domain recommendation.

  • Toine Bogers, Aalborg University Copenhagen, Denmark
  • Marijn Koolen, University of Amsterdam, The Netherlands
  • Pasquale Lops, University of Bari, Italy
  • Cataldo Musto, University of Bari, Italy
  • Giovanni Semeraro, University of Bari, Italy


Friday, Sept 16, 2016, 09:00-17:30


IBM (2224)

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