The research of video resource personalized recommendation system based on education website

Under the circumstance that network education has been more and more universal, educational website resource has developed to the trend of multi-media, the video resources, in particular, more and more widely are used. In order to deal with the problem of overflowing of educational website and video resource, the low efficiency of students in selecting valuable video resource, the author design a collaborative filtering recommendation system based on Apriori algorithm of association rules. The system, based on the users' habits, time of use and use environment, can analyze, judge and then list the optimal recommended personalized resources.