Hybrid critiquing-based recommender systems

  • Authors:
  • Li Chen;Pearl Pu

  • Affiliations:
  • Swiss Federal Institute of Technology in Lausanne (EPFL), Lausanne, Switzerland;Swiss Federal Institute of Technology in Lausanne (EPFL), Lausanne, Switzerland

  • Venue:
  • Proceedings of the 12th international conference on Intelligent user interfaces
  • Year:
  • 2007

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Abstract

We propose a novel critiquing-based recommender interface, the hybrid critiquing interface that integrates the user self-motivated critiquing facility to compensate for the limitations of system-proposed critiques. The results from our user study show that the integration of such self-motivated critiquing support enables users to achieve a higher level of decision accuracy while consuming less cognitive effort. In addition, users expressed higher subjective opinions of the hybrid critiquing interface than the interface simply providing system-proposed critiques, and they would more likely return to it for future use.