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
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;
Conference_Titel :
Advanced Intelligence and Awareness Internet (AIAI 2011), 2011 International Conference on
Conference_Location :
Shenzhen
Electronic_ISBN :
978-1-84919-471-6
DOI :
10.1049/cp.2011.1445
