Research on Personalized Recommendation of Products based on Concept Similarity of Node Depth

With the development of product diversification, the characteristics of users' demands nowadays reflect diversity and difficult to locate accurately. Nowadays, simple recommendation does not solve the contradiction between product diversity and user needs, and this contradiction has an increasing trend. Technology of personalized recommendation will be the key to solve the contradiction. By analyzing the attribute structure of the products, the attribute is divided into three different layers: content structure, operation and function, and the representation method of tree structure is designed. The structure model can express the attribute structure of products clearly.