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New Technology of Library and Information Service  2009, Vol. 3 Issue (1): 80-85    DOI: 10.11925/infotech.1003-3513.2009.01.12
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Design of an E-commerce Recommender System Based on Hybrid Algorithm
Wang Hongyu  Zhao Ying  Dang Yuewu
(School of Public Administration, Sichuan University, Chengdu 610064,China)
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In view of the current E-commerce Recommender System can not be good for unregistered users, the paper set two different sets of data collection program according to the characteristics of unregistered users and registered users, in order to enhance the friendly of website and the accuracy of the data. Because the decision tree algorithm and bayesian network algorithms both have advantages and disadvantages, the paper uses a combination of two algorithms, and introduces the content-based algorithm to research the attribute of goods to improve the accuracy of the recommendation. The experiments prove that these methods can provide good service for unregistered users and the recommendation based on the hybrid algorithm is superior to single algorithm.

Key wordsHybrid algorithm      Recommender system      Decision tree      Bayesian networks     
Received: 09 October 2008      Published: 25 January 2009


Corresponding Authors: Zhao Ying     E-mail:
About author:: Wang Hongyu,Zhao Ying,Dang Yuewu

Cite this article:

Wang Hongyu,Zhao Ying,Dang Yuewu. Design of an E-commerce Recommender System Based on Hybrid Algorithm. New Technology of Library and Information Service, 2009, 3(1): 80-85.

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