DocumentCode
2532047
Title
A study on personalized recommender system in e-commerce based on Ant Colony
Author
Ruixin Cao ; Shouxiang Zhao
Author_Institution
Coll. of Comput. Sci. & Inf. Eng., Beijing Technol. & Bus. Univ. Beijing, Beijing, China
fYear
2011
fDate
28-30 Oct. 2011
Firstpage
146
Lastpage
149
Abstract
This paper proposed the combination of existing Ant Colony Algorithm and the recommendation algorithm. And it introduced the concept of pheromones and volatile in Ant Colony Algorithm. Combines the browsing behavior and the preferences of similar user in recommended process, and calculate the score of each page. And proposed the solutions of specific problems when the algorithm applying in recommender system.
Keywords
ant colony optimisation; consumer behaviour; electronic commerce; recommender systems; ant colony algorithm; e-commerce; personalized recommender system; recommendation algorithm; user browsing behavior; Ant Colony Algorithm; Browsing path; E-commerce; Recommend system;
fLanguage
English
Publisher
iet
Conference_Titel
Advanced Intelligence and Awareness Internet (AIAI 2011), 2011 International Conference on
Conference_Location
Shenzhen
Electronic_ISBN
978-1-84919-471-6
Type
conf
DOI
10.1049/cp.2011.1445
Filename
6233243
Link To Document