The Study of Intelligent Learning Website

The rapid development of Internet has given rise to many new applications. Natural language processing, cloud computing, personalized recommendation technologies and so on are improving the experience of using information resources for people greatly. This paper puts forward the idea of a kind of intelligent learning website, it includes a variety of functions such as goal setting, skills assessment, making study plan, recommending learning content, answering questions, recommending partners and projects, etc. Just like as if user has his own personal trainer. Related implementation techniques are discussed in this paper, and put forwards the algorithm of network user identification based on digitalized persona, it provides a new train of thought of identify users characteristic and demand for precisely personalized recommendation.