| With the development of education reform, positive progress has been made in the workof education informationization, especially the education planning outline issued since, theimportance of educational informationization has been widely recognized by the wholesociety, to speed up the development of the policy environment, investment protection andsocial atmosphere is formed, the national education informatization pilot work started. Thestrategic deployment of information technology in education initially formed, the educationinformation infrastructure has begun to take shape, the campus network comprehensivepopularization, many schools have built campus network, the majority of rural primary andsecondary equipment informationterminal facilities, to our education resourcessharing provides the infrastructure feasible on the bass of educational resources, sharingsystem increasing, education resources continuous accumulation.With the increasing development of educational resources sharing so that we are in a eraof information overload. Our problem from the previous resource not found to change weneed more time to brush resources, efficiency of ourstudy and work is reducedcontinuously. How to quickly get what we really need, really interested in resources, providethe efficiency of study and workis an urgent problem to be solved.Personalized recommendation system of educational resources can solve thisproblemvery well, which provides targeted search recommendation, put on obtaining resources aremost useful resources to show to the personalized recommendation system. From the existingresource extraction andrepresentation of resources characteristic, how to dig, representationandupdate user interest point, how to better and more user interest pointrecommended thecorresponding resource is the core of Education Resource Recommendation system.The main work and innovations are as follows:(1) establishment of user model in different time:The user has short-term interest and long-term interest, this paper will makedifferentmodeling, to recommend users to better the current real interestresources. At the sametime, he proposed the user interest point increasedecline model, better transferring hold users’interests, and provides the basis for accurate recommendation.(2) the dynamic level model of educational resourcesAccording to the on line dynamic scoring advantages of resource users do not understandthe behavior of the education resources, and set up the Internetthinking resources ratingsystem.(3) engine design and Realization of Intelligent Education ResourceRecommendationDesign a set of educational resources of personalized recommendation system, andundertak the work of development, finally, to verify the performance of recommendationalgorithm. |