Recommendation Algorithm by Item Classification Using Preference Difference Metric
Chan-Soo Park, Taegyu Hwang, Junghwa Hong, Sung Kwon Kim · 정보과학회 컴퓨팅의 실제 논문지 · 2015
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.