Personalized Information Recommendation System Design And Implementation Based On 3G Mobile Environment

With the rapid development of mobile communication networks and mobile Internet technology, the usage of mobile terminals is also climbing up. Mobile networks can provide mobile users a wide range of real-time and online services, such as transport, tourism, weather, news, health and so on. With the proliferation of network resources, mobile users need to spend a lot of time to view the information they want, ordinary mobile terminal services couldn’t meet the needs of users. To solve this problem, there has been a mobile personalized recommendation technology, which can help mobile users quickly and more efficiently extract useful information from a large number of knowledge and information in order to provide targeted items to meet the needs of the user.This paper first describes the mobile personalized recommendation’s background and significance, the current domestic and foreign research in this field of status quo and the current research. Then explains some theoretical knowledge and concepts of the personalized recommendation technology and analyzes several popular personalized recommendation technologies, and makes a thorough research on them which’s advantages and disadvantages are discussed. The next step is to collect users’ information, build personalized models, design and implement the personalized terminals. Personalized travel mobile terminal as a basis for mobile users to collect basic information, behavioral information as reference to recommend, taking situational factors into account, building a mobile user model to analyze user’ interest, with the knowledge of natural language processing to process the text of the project and select the information from the project that best meet the needs of mobile users and recommend to them.In this paper, the design and implementation of a personalized travel recommendation system that can provide users with spontaneous push service based on mobile user’s preferences to help users find the most suitable hotels, attractions, restaurants, entertainment, shopping, etc., and provide them a personalized push to improve the viscosity of the users to the application, and collect more revenue for operators. The system consists of client-side and server-side, the client-side is responsible for collecting the usage of mobile users, which serves as a basis for recommendations, and it should communicate with users, bear the responsibility to show recommended results. The server-side is mainly responsible for analyzing the user data from the client and building user model, and processing of the project content, making comprehensive analysis to get the recommendation results.