Design And Implementation Of WeChat Public Information Push System Based On Location

With the development of information technology and the construction of the campus broadband network, more and more software applications are applied to the location of the campus location. But in the face of vast amounts of information, how to get the most valuable information in a limited time is essential.In this thesis, we use the advantages of WeChat news push to develop a personalized information push system for campus geographic environment. Research on the problems such as the deviation of geographic position and the lack of personalized push in the development of the WeChat public platform. The main characteristics of the causes of the problems and needs of individual users is analyzed, and using geographic coordinate of local comprehensive database storage and network interface address conversion method to pinpoint the location of the user, and Baidu map API has completed the localization. In order to meet the needs of users, the personalized recommendation matrix model is established to define the personalized features and ranking user personalized interest value by weighted method. In the system design by software tile pattern design and intelligent speech understanding, improve customer satisfaction, is convenient for the user to use.