Research on the Development of Personalized Recommendation

With the rapid development of Internet technology and big data technology, the problem of information overload has become more and more serious, especially in the field of e-commerce.The personalized recommendation system can judge the user’s preferences based on the user’s browsing history, purchase history, webpage stay time, etc., so as to push the most suitable product for the user, meet the user’s product demand while saving business time, and achieve a win-win situation. This article will comprehensively analyze the development profile, main technologies, application status and future trends of the recommendation system, and further elaborate the problems and development directions of the personalized recommendation system.

I. Quote

With the rapid progress of information technology, the Internet has become a huge data pool, and the problem of network resource overload is becoming more and more serious ^[1] . Users generally need to spend a lot of time and energy to search and find from the massive network data when obtaining the specific information they need, and the personalized recommendation system came into being ^[2]. It recommends ideal data to users through information such as user's web habits, search terms, webpage residence time, etc., which are commonly used in e-commerce, online news, social media networks, short videos, navigation and other fields.