HetRec ’10

1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems

The heterogeneity of information sources can be identified in any of the three pillars of a recommendation algorithm: the modelling of user preferences (e.g., by using explicit and implicit feedback), the description of resource contents (e.g., by making cross domain recommendations), and the exploitation of the context in which recommendations are made (e.g., by jointly considering different contextual aspects). The goal of HetRec workshop was to bring together researchers and practitioners interested in addressing any of the above forms of information heterogeneity in recommender systems, and studying information fusion in this context.

  • Peter Brusilovsky
  • Iv├ín Cantador
  • Yehuda Koren
  • Tsvi Kuflik
  • Markus Weimer
Workshop Date

September 26, 2010

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