The Study On Personalized Recommendation Method Of Clothing

With time going on, the fact that pace of life becomes faster make more and morecustomers pay more attention to efficiency of shopping. At the same time, People havehigher demand for personalization. The study of clothing personalized recommendationmethod contributes to meet the personalized needs of customers and improve efficiencyof shopping.In this thesis, a model of personalized recommendation of clothes based on roughset theory has been developed. The key content is as following:(1) Get dynamicpreference degree of customer by evaluating samples of clothing.(2) Calculate interestdegree in different evaluation based on rough set theory and evaluations of customers,then we can get total interest degree of every attribute.(3) Calculate and sort interestdegree of on sale garments and recommend to customers down to.Then，take men’s shirt as a case and develop a system based on the model of clothespersonalized recommendation. The core function of this system is that we can getdynamic preference degree of customers easily, can do some calculation andrecommendation by this system. The sellers and customers can manage information ofgarments and customers through this system.Finally, verify this system by ten male graduate students of soochow university.Verification results show that the result of personalized recommendation is satisfactoryin general for ten students.