Modern Distance Education System Personalized Recommendation Algorithm

Modern distance education network is arisen with development, the existing teaching resources digitization, networking, the expansion of information resources. Modern distance education as a new mode of education, network education platform should be based on contemporary college students network services for the design of the starting point and the ultimate aim, it should not only for students of professional type, and can meet the demand of students' general learning demand information to determine the network education platform service content and resources, so as to realize the intelligent direction of the development of knowledge network. Modern distance education personalized recommendation system is one way of solving such problem.Recommendation system is in the information filtering technology based on the derivative of a technology. Information filtering technology can better solve the" resource isotropic" and" information overload", so that we can make full use of and the use of cyber source. Information filtering technology is to realize information resource personalized recommendation based on a technology. Information filtering technology based on recommendation system has good development prospect. At present almost all large business system using a different form or manner of recommendation system. However, in the modern distance education network platform in recommender systems use is very rare. This article is based on modern distance education system construction as the foundation, proposed based on the learner's interest model and design personalized recommendation algorithm. In the more in-depth exploration and research of recommendation system and the dependence on the basis of the prior art, on various existing information filtering technology for an in-depth discussion and analysis, the personalized recommendation system in reference to the modern distance education system, design and implement a provides learners with learning programs customized personalized recommendation of learning resources system.