Using genetic algorithms for personalized recommendation

Authors:
Chein-Shung Hwang;Yi-Ching Su;Kuo-Cheng Tseng
Affiliations:
Dept. of Information Management, Chinese Culture University, Taipei, Taiwan;Dept. of Information Management, Chinmin Institute of Technology, Miaoli, Taiwan;Dept. of Information Management, Chinmin Institute of Technology, Miaoli, Taiwan
Venue:
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
Year:
2010

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Abstract

With the high-speed development of customer service orientation, it is essential that the enterprises must find and understand customers' interests and preferences and then provide for suitable products or services. Recommender systems provide one way of circumventing this problem. This paper describes a new recommender system, which employs a genetic algorithm to learn personal preferences of customers and provide tailored suggestions.