DocumentCode
2033175
Title
E-commerce personalized recommendation system based on Multi-Agent
Author
Guo Yan-yan ; Liu Qi-cheng
Author_Institution
Coll. of Comput., Yantai Univ., Yantai, China
Volume
4
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
1999
Lastpage
2003
Abstract
This paper applied Multi-Agent to E-commerce personalized Recommender System, and designed E-commerce personalized Recommender System based on Multi-Agent, namely, MAPRS. Off-line recommendation and on-line hybrid recommendation are used to construct the core recommender model under the intelligent control. The paper presents the function and design ideas of various components of the system.
Keywords
electronic commerce; multi-agent systems; recommender systems; MAPRS system; e-commerce; intelligent control; multi-agent system; online hybrid recommendation; personalized recommendation system; Data mining; Databases; Engines; Filtering; Libraries; Monitoring; User interfaces; E-commerce; Multi-Agent; collaborative Filtering recommendation System; content-based Filtering recommendation System; hybrid recommendation system; personalization user profile;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5931-5
Type
conf
DOI
10.1109/FSKD.2010.5569483
Filename
5569483
Link To Document