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In order to meet the need of semantics recommendation to personalized commodity in e-commerce, the model based on fuzzy semantics personalized recommendation system is built to describe the integrated user’s interest feature and commodity information. The user’s interest degree of commodity and the correlation degree of commodity and interest are described using FALC syntax, and the related algorithm is used to complete user’s interest data-mining. The experiment shows that the personalized recommendation method and model based on fuzzy semantics can make the e-commerce system to describe fuzzy commodity concept and recommend more appropriate goods to users.

Research on Personalized Commodity Recommendation Method Based on the Fuzzy Semantics