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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569483
