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Issue No.06 - November/December (2004 vol.19)
pp: 32-39
Jae Kyu Lee , Korea Advanced Institute of Science and Technology
Yoon Ho Cho , Kookmin University
Chan Young Kim , Korea Advanced Institute of Science and Technology
ABSTRACT
As mobile-Web technology becomes increasingly pervasive, the market for wallpaper images for cell phones has grown remarkably. In spite of this growth, customers experience much frustration when searching for images. VISCORS (Visual Contents Recommender System) increases search efficiency by combining collaborative filtering with content-based image retrieval. An experiment involving real mobile-Web customers confirmed that VISCORS is a realistic solution for recommending wallpaper images in large-scale databases.
INDEX TERMS
recommender system, mobile Web, collaborative filtering, content-based image retrieval, preference feedback
CITATION
Jae Kyu Lee, Yoon Ho Cho, Chan Young Kim, "VISCORS: A Visual-Content Recommender for the Mobile Web", IEEE Intelligent Systems, vol.19, no. 6, pp. 32-39, November/December 2004, doi:10.1109/MIS.2004.75
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