Research On Personalized Clothing Recommendation Technology Based On Web User Experience

With the development of Internet, the Internet created new changes. At the same time,with the rapid development of e-commerce, the lack of online shopping appeared.Currently the personalized recommendation system can not meet the needs of users greatly.Especially in clothing online shopping, Users can not try on clothes, can not see the effectof try. There is no shopping guides help to select. We are unable to confirm the clothes welike whether suit ourselves and we don’t know how to collocate. These inadequacies havea serious impact on clothing online shopping.This paper analyzes the inadequacies of online shopping compare to clothing storeshopping and unite these inadequacies designed a personalized recommendation systemthat fully take into account the user’s actual shopping experience. The System can not onlyrecommended user preferences product but also a full set of clothing suitable for users. Thesystem simulated the actual experience that users try and collocate in the store when theybought clothes and help users to choose the clothes suit for themselves. The System canimprove user satisfaction with clothing online shopping and increase the quantity of orders.The major works in this paper as the following:1、 This paper analyzes overseas and domestic research status of personalizedrecommendation system. This paper found the current lack of personalizedrecommendation system of shopping website.The lack is unthoughtful user experience.2、Create user interest model base on user register information,the page content ofuser searched and the browsing behavior of user. First, initialize the user interests databaseaccording to the user register information. Then update the user interests databaseaccording to the information the user browsed and users’browsing behavior. We can getthe information about users’ interest.3、Base on human body shape, expert advice and personal preferences, a dresscollocation algorithm is established. The dress collocation algorithm use the method ofAnalytic Hierarchy Process and Rough Set. We can categorize users by user shape andrecommend colthes fit their body shape to users according to this user shape model. Thenwe can recommende clothes that fit their size. At laset, we can give the collocation ofclothing by the method of attribute reduction in. The validity of the algorithm is verified byexperiment.4、 Design the frame structure and function module personalized clothing recommended system. Complete main functions of the system.