DocumentCode :
83838
Title :
A Smart B2C e-Commerce System Based on ACP Approach
Author :
Chen Lyu ; Lefei Li ; Tao Pan
Author_Institution :
Dept. of Ind. Eng., Tsinghua Univ., Beijing, China
Volume :
29
Issue :
4
fYear :
2014
fDate :
July-Aug. 2014
Firstpage :
102
Lastpage :
104
Abstract :
We introduce a smart business-to-consumer (B2C) e-commerce system based on the artificial systems, computational experiments, and parallel execution (ACP) approach to intelligently understand customers´ interests and provide a customized B2C service experience. Taking recommendation as an example, the behavioral experiments´ result shows significant improvement of the proposed system.
Keywords :
electronic commerce; parallel processing; ACP approach; artificial systems; parallel execution approach; smart B2C e-commerce system; smart business-to-consumer e-commerce system; Business; Computational modeling; Consumer behavior; Data models; Electronic commerce; Information filtering; Market research; Recommender systems; Social network services; ACP approach; e-commerce; intelligent systems; recommendation system;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2014.59
Filename :
6908916
Link To Document :
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