Design and Application of Personalized Recommendation System Based on User Behavior

文献类型： 外文期刊

第一作者： Chen, Lei

作者： Chen, Lei;Qia, Zhufeng

作者机构：

期刊名称：INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY AND ENVIRONMENT PROTECTION (ICSEEP 2015)

ISSN：

年卷期： 2015 年

页码：

收录情况： SCI

摘要： This paper researched on how to get the user interest information effectively, which introduces the personalized recommendation technology to personalized learning system of the modern distance education. Based on the user operate behavior characteristics of the modern distance education platform, the paper designed a set of recommendation algorithms that which considered many factors, such as the collaboration of user, the similarity of resource, the user behavior sequences, etc. The paper constructed model and implemented a learning information personalized recommender system for users. What's more, it was the most important improvement that combination of user information database, initial interest model algorithm and update algorithm could feed back the user interest information ASAP. Application results shown that farmers, engaged in E-learning, are gradually accustomed to getting these personalized suggestions. Combined with user feedback, there are several defects about behavior predictions, e.g. inaccurate information, deficient contents, unattractive recommendations, etc.

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