Personalized Recommendation System Based on Commodity Gene and GA
Hao Zhang · Computer Systems and Applications · 2011
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 candidated sets of customer preferences,and then use genetic algorithm which has be 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.