Hybrid systems for personalized recommendations

  • Authors:
  • Robin Burke

  • Affiliations:
  • School of Computer Science, Telecommunications and Information Systems, DePaul University, Chicago, Illinois

  • Venue:
  • ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

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.