Research on Web Application Technology in Distance Education Personalized Recommendation System

Abstract

With the rapid development of distance education, distance educations teaching resources has a number of large, but, it is difficult to find suitable courseware resources in time. The system constructs and improves the user interest model of the vector space, through the analysis of user behavior. The system uses the content-based recommendation algorithm, user-base collaborative recommendation and item-base collaborative recommendation algorithm to implement distance education resource recommender system. So as to provide distance education personalized recommendation web application technology as far as possible to meet the user needs, enhance the user experience of distance education system.