Application of Fuzzy Logic to E-Commerce Recommendation System of Commodity
模糊逻辑在电子商务商品推荐系统中的应用

In e-commerce platform to provide targeted product recommendation mechanism to help users quickly and accurately find the merchandise is very important. Comprehensive Satisfaction is the focus of the product based on user satisfaction with different attributes of the commodity the weight recommended in the different properties of the satisfaction of all goods operations by the weighted measure of satisfaction.Comprehensive Satisfaction according to the sort of goods where goods are recommended to improve the accuracy of recommendation. Product satisfaction is a vague concept, this paper proposes the use of fuzzy logic to handle goods satisfaction methods, and proposed a set of recommendations based on product satisfaction mechanism. This paper introduces a commodity-based e-commerce product satisfaction recommendation system framework, which focuses on product attributes based on fuzzy logic approach and satisfaction with Comprehensive Satisfaction based on commodity products recommended by the rules, and gives a recommendation of goods Simulation instance.