您好，欢迎访问北京市农林科学院 机构知识库！
北京市农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Design and Application of Personalized Recommendation System Based on User Behavior

文献类型： 外文期刊

作者： Chen, Lei 1 ; Qia, Zhufeng 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Informat Sci & Technol Agr, Haidian Distract, BJ, Peoples R China

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.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：北京市农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台