Hybrid critiquing-based recommender systems

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. Copyright 2007 ACM.


Published in:
International Conference on Intelligent User Interfaces, Proceedings IUI, 22-31
Year:
2007
Publisher:
Association for Computing Machinery, New York, NY 10036-5701, United States
Keywords:
Note:
Human Computer Interaction Group, School of Computer and Communication Sciences, Swiss Federal Institute of Technology in Lausanne (EPFL), CH-1015, Lausanne, Switzerland
Laboratories:




 Record created 2008-01-14, last modified 2018-03-17

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