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VISCORS: A Visual-Content Recommender for the Mobile Web
November/December 2004 (vol. 19 no. 6)
pp. 32-39
Chan Young Kim, Korea Advanced Institute of Science and Technology
Jae Kyu Lee, Korea Advanced Institute of Science and Technology
Yoon Ho Cho, Kookmin University
Deok Hwan Kim, Dongyang Technical College
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:
Chan Young Kim, Jae Kyu Lee, Yoon Ho Cho, Deok Hwan Kim, "VISCORS: A Visual-Content Recommender for the Mobile Web," IEEE Intelligent Systems, vol. 19, no. 6, pp. 32-39, Nov.-Dec. 2004, doi:10.1109/MIS.2004.75
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