Issue No. 03 - May/June (2007 vol. 22)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2007.43
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.
critiquing, mobile recommender systems, user study, user modeling
F. Ricci and Q. N. Nguyen, "Acquiring and Revising Preferences in a Critique-Based Mobile Recommender System," in IEEE Intelligent Systems, vol. 22, no. , pp. 22-29, 2007.