Title :
A collaborative filtering recommendation method to the loyal-user problem
Author :
Yongsheng, Huang ; Xiangwu, Meng ; Yujie, Zhang
Author_Institution :
Beijing Key Lab. of Intell. Telecommun., Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Although a variety of recommendation techniques have been proposed in recent years, collaborative filtering (CF) has been considered to be the most successful recommendation technique. Data sparsity is one of the problems which attract most attention from researchers. Data sparsity means there are lots of users having no or a small amount of rated item. Prediction to rating score of user´s unrated items is imprecision. In contrast to the data sparsity problem, what is called as loyal-user problem in this paper is neglected. In this paper, the loyal-user problem is analyzed and an approach is proposed to solve the problem. The experimental results also demonstrate the effectiveness of the method.
Keywords :
groupware; information filtering; collaborative filtering recommendation method; data sparsity problem; loyal-user problem; Collaboration; Collaborative software; Electronic mail; Filtering algorithms; Information filtering; Information filters; Laboratories; Motion pictures; Recommender systems; Statistics; collaborative filterinng; data sparsity; loyal user; recommender system;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234854