DocumentCode :
2069996
Title :
An Optimized Trust Factor Based Collaborative Filtering Recommendation Algorithm in E-commerce
Author :
Bu, Xinyi ; He, Xiujuan
Author_Institution :
Manage. Sch., Hangzhou Dianzi Univ., Hangzhou, China
Volume :
1
fYear :
2010
fDate :
7-8 Aug. 2010
Firstpage :
468
Lastpage :
471
Abstract :
Typical trust factor based collaborative filtering algorithm is not suitable for user´s multiple interest recommendation. A new algorithm combines traditional trust factor-based collaborative filtering with similar item-based collaborative filtering was presented. The experimental results show that the proposed methods perform better than the old recommendation method.
Keywords :
electronic commerce; groupware; recommender systems; security of data; collaborative filtering recommendation algorithm; e-commerce; trust factor; Collaboration; Filtering; Filtering algorithms; Harmonic analysis; Nearest neighbor searches; Power harmonic filters; Prediction algorithms; collaborative filtering; e-commerce; item similarity; personalized recommendations; trust factor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-7669-5
Electronic_ISBN :
978-1-4244-7670-1
Type :
conf
DOI :
10.1109/ISME.2010.157
Filename :
5571989
Link To Document :
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