Mixed Recommendation Algorithm Based on Commodity Gene and Genetic Algorithm

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 219)

Abstract

To solve the problems of “new user” and “sparseness”, we introduce the concept of commodity gene. Through coupling the commodity gene database, users’ purchasing historical records, users’ content of online browsing and the data of neighbors’ behavior, we can form the module of candidate sets of customer preferences, and then use genetic algorithm which has been improved to make the selection and polymerization to the model, so that we can complete the best selection of neighbors. Finally, we can get the recommended sets according to the recommended module. Experimental results show that the algorithm we suggested can improve the accuracy of the recommendation and achieve good quality of recommendation.

Keywords

Commodity gene Recommendation algorithm Genetic algorithm 

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Department of Transportation EngineeringHuaiyin Institute of TechnologyHuai’anChina

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