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http://dx.doi.org/10.5626/KTCP.2015.21.2.121

Recommendation Algorithm by Item Classification Using Preference Difference Metric  

Park, Chan-Soo (Chung-Ang Univ.)
Hwang, Taegyu (Chung-Ang Univ.)
Hong, Junghwa (Chung-Ang Univ.)
Kim, Sung Kwon (Chung-Ang Univ.)
Publication Information
KIISE Transactions on Computing Practices / v.21, no.2, 2015 , pp. 121-125 More about this Journal
Abstract
In recent years, research on collaborative filtering-based recommendation systems emphasized the accuracy of rating predictions, and this has led to an increase in computation time. As a result, such systems have divergeded from the original purpose of making quick recommendations. In this paper, we propose a recommendation algorithm that uses a Preference Difference Metric to reduce the computation time and to maintain adequate performance. The system recommends items according to their preference classification.
Keywords
recommendation system; collaborative filtering; item classification based on preference; threshold optimization;
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