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Research and Implementation on User Interest Modeling based on Genetic Algorithm

Interest model of user is the basic part of personalized recommendation. It represents the interests of users and is the basic guarantee for successful recommendation. The quality of user model is directly related to the recommendation precision of personalized recommendation system. The user model is the main source of personalized recommendation system for personalized recommendation. The ability of user interest model to reflect the user's real preference is the key to the personalized recommendation system. In various industries, the establishment of user models has a positive effect on operators' successful recommendation of products to enhance competitiveness. The combination of user interest modeling based on genetic algorithm and the combination of tree-based product models shows good performance and recommendation effect. Finally, it is proved that the recommendation mechanism based on the behavior and function similarity based on the difference of content is better than the recommendation algorithm based on product similarity and other recommendation mechanisms that add product differentiation.