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Accuracy improvement of a collaborative filtering recommender system  

Lee, Seog-Hwan (Inha University Industrial Engineering)
Park, Seung-Hun (Inha University Industrial Engineering)
Publication Information
Journal of the Korea Safety Management & Science / v.12, no.1, 2010 , pp. 127-136 More about this Journal
Abstract
In this paper, the author proposed following two methods to improve the accuracy of the recommender system. First, in order to classify the users more accurately, the author used a EMC(Expanded Moving Center) heuristic algorithm which improved clustering accuracy. Second, the author proposed the Neighborhood-oriented preference prediction method that improved the conventional preference prediction methods, so the accuracy of the recommender system is improved. The test result of the recommender system which adapted the above two methods suggested in this paper was improved the accuracy than the conventional recommendation methods.
Keywords
Collaborative Filtering; Recommender System; EMC Heuristic;
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Times Cited By KSCI : 2  (Citation Analysis)
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