DocumentCode :
3459760
Title :
An Approach of Selecting Right Neighbors for Collaborative Filtering
Author :
Zhang Liang ; Xiao Bo ; Guo Jun
Author_Institution :
Sch. of Inf. & Telecommun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2009
fDate :
7-9 Dec. 2009
Firstpage :
1057
Lastpage :
1060
Abstract :
Collaborative filtering has been very successful in both research and applications. In collaborative filtering algorithm, the most important process is selecting neighbors for the active user. Traditional methods compute user´s similarity on the whole set of items. Because researchers believed if users have similar preference on some of items, they will have the similar preference on other items. But we argue that users have similar preference only on parts of items, not the whole items. For this reason, we try to analyze the problem of traditional approach in the process of selecting neighbors in our paper. And then we propose a novel method to select neighbors for the active user by using the variance of the process of computing similarity between users. Experimental results show that our approach can significantly improve the accuracy of predication.
Keywords :
information filtering; recommender systems; collaborative filtering algorithm; recommendation systems; user similarity computing process; Algorithm design and analysis; Collaborative work; Filtering algorithms; Information filtering; Information filters; International collaboration; Recommender systems; Telecommunication computing; Telecommunication control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
Type :
conf
DOI :
10.1109/ICICIC.2009.76
Filename :
5412516
Link To Document :
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