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Hybrid Systems for Personalized Recommendations

  • Robin Burke
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3169)

Abstract

A variety of techniques have been proposed and investigated for delivering personalized recommendations for electronic commerce and other web applications. To improve performance, these methods have sometimes been combined in hybrid recommenders. This chapter surveys the landscape of actual and possible hybrid recommenders, and summarizes experiments that compare a large set of hybrid recommendation designs.

Keywords

Recommender System User Profile Collaborative Filter Recommendation Algorithm Computer Support Cooperative Work 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Robin Burke
    • 1
  1. 1.School of Computer Science, Telecommunications and Information SystemsDePaul UniversityChicago

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