Research Of Personalized Recommendation Technology On Set Of Goods Integrated Mobile Shopping Platform

With the improvement of people's quality of life and the rapid development of the information age, people are increasingly keen on online shopping. China's electricity industry immediately developed rapidly, the major mobile Internet business APP platform abound, a wide range. Can appear in the seemingly thriving business class background,the development of mobile electricity business APP is stagnant, the emerging electric business APP difficult to break the traditional electric business APP shackles, to achieve innovation, it is difficult to get the public recognition. Traditional mobile shopping APP in the display of goods is too boring single, the lack of understanding of the real situation for the clothing, and users of the purchase of goods with less understanding.A wide range of merchandise display is a common problem for each shopping platform, from the massive goods to find their favorite goods,will be innocent to increase the burden on users. On the registration of each user personalized recommendation of the corresponding goods, will significantly improve the user's experience, so as to lengthen the user's retention time and purchase desire to enhance their competitiveness.In recent years the country intends to support the "Internet +"emerging industries, in order to deal with the above problems, to break the traditional electric business APP, research and development of new electric APP, while responding to the country's attention to the emerging Internet industry calls to promote further business Development, the development and design of a set of shopping, community, dress with one of the integrated shopping APP, the system also made a personalized recommendation to users, to complete the main work is as follows:Firstly, for the new electric business APP system from the application and background management, according to the software life cycle process from the needs analysis, to the business needs, to the total design were described.Secondly, the personalized recommendation algorithm in the system is described in detail, including the reason of the algorithm improvement,the model of the algorithm, and the specific application steps of the algorithm.In the last, the important function modules of the system are displayed, and the results of the personalized recommendation algorithm applied in APP are analyzed and explained.