New Trends in Content-Based Recommender Systems

While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. In recent years, competitions like the Netflix Prize, CAMRA, and the Yahoo! Music KDD Cup 2011 have spurred on advances in collaborative filtering and how to utilize ratings and usage data. However, there are many domains where content and metadata play a key role, either in addition to or instead of ratings and implicit usage data. For some domains, such as movies the relationship between content and usage data has seen thorough investigation already, but for many other domains, such as books, news, scientific articles, and Web pages we do not know if and how these data sources should be combined to provided the best recommendation performance.

  • Toine Bogers, Aalborg University Copenhagen, Denmark
  • Marijn Koolen, University of Amsterdam, the Netherlands
  • Ivan Cantador, Universidad Autonoma de Madrid, Spain
Workshop Date

Oct 6, 9.00 – 17.30


Bayview Room

Web site

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