Issue No. 02 - March/April (2006 vol. 21)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2006.24
Sung Ho Ha , Kyungpook National University
While most techniques for recommending digital content have focused on content's similarity, this system makes recommendations to users on the basis of their preferences. The author's personalization system adopts a methodology applicable for Internet service providers as well as news sites. A user preference score prioritizes recommended articles according to their relevance to the user's preferences. A prototype system, applied to an English news site on the Internet, tests the methodology's feasibility and effectiveness.
digital content, personalization, recommender system, data mining
S. H. Ha, "Digital Content Recommender on the Internet," in IEEE Intelligent Systems, vol. 21, no. , pp. 70-77, 2006.