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.
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Human Computer Interaction Group, School of Computer and Communication Sciences, Swiss Federal Institute of Technology in Lausanne (EPFL), CH-1015, Lausanne, Switzerland
Record created on 2008-01-14, modified on 2016-08-08