Research On Personal Recommendation Service In Education Information Sharing System

With the exponential growth of education information, users are encompassed by plenty of education information and faced with the problem of "Information overload" at the same time. Therefore, it is an urgent demand to realize personal education information service for education information sharing.In this paper, the Item-based Collaborative Filtering Recommendation technology is applied to education information sharing field. Because most of the education information resource is multimedia resource, it can not be described exactly with keywords. So the score which users estimate resource items is used to recommend resources. First, the basic theory of education information construction and the problems in the education resource sharing are stated. Then the key techniques of personal recommendation technology and user modeling are introduced. Personal recommendation algorithm is the core of the personalization recommendation system. Thereby, based on analyzing and researching advantages and disadvantages of the present algorithm, a personal recommendation method of education information with the combination of content-based recommendation and item-based collaborative filtering is designed, which solves the problem of sparsity and scalability to a certain extent. Finally, the design of education information sharing system and the personal recommendation module is brought forward. According to the characteristics of education resources and users' study, the user model and resource model are designed and the function of education information recommendation is implemented, which provides a new clue for realizing education information sharing and personalization recommendation services of education information.