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Acquiring and Revising Preferences in a Critique-Based Mobile Recommender System
May/June 2007 (vol. 22 no. 3)
pp. 22-29
Francesco Ricci, Free University of Bozen-Bolzano
Quang Nhat Nguyen, Free University of Bozen-Bolzano
Personalized product recommendations, generated by e-commerce recommender systems, can provide helpful information and decision support when users are overwhelmed by product alternatives. Although many successful Web-based recommender systems have been deployed, only a few have been designed for mobile users. Researchers at the Free University of Bozen-Bolzano created a critique-based recommendation methodology and applied it to the acquisition and revision of user preferences in a mobile recommender system. The approach has been implemented in a system that helps on-the-go travelers select their desired travel products. Results from user evaluations validated the system's functionality and usability. This article is part of a special issue on Recommender Systems.
Index Terms:
critiquing, mobile recommender systems, user study, user modeling
Citation:
Francesco Ricci, Quang Nhat Nguyen, "Acquiring and Revising Preferences in a Critique-Based Mobile Recommender System," IEEE Intelligent Systems, vol. 22, no. 3, pp. 22-29, May-June 2007, doi:10.1109/MIS.2007.43
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