The research of farmer distance education personalized recommendation system based on collaborative filtering technology
文献类型： 外文期刊
作者： Zhao, Ji-Chun 1 ; Liu, Shi-Hong 2 ; Guo, Jian-Xin 1 ; Qiao, Zhu-Feng 1 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing, Peoples R China
2.Chinese Acad Agr Sci, Inst Agr Informat, Beijing 100193, Peoples R China
3.Res Ctr Beijing Engn Technol Rural Remote Informa, Beijing, Peoples R China
关键词： Distance learning;personalized learning;recommendation system
期刊名称：DESIGN, MANUFACTURING AND MECHATRONICS (ICDMM 2015)
ISSN：
年卷期： 2016 年
页码：
收录情况： SCI
摘要： Modern farmers distance education in rural areas is important for enhancing the level of information and building farmers lifelong education system. A new personalized recommendation algorithm is proposed based on the analysis of traditional personalization algorithms and the actual needs of farmers, which is based on collaborative filtering algorithm. An improved item-based recommendation algorithm is to predict the users' score. The experimental results for verification algorithm show that the algorithm has better accuracy. The algorithm is applied to the farmers distance education personalized recommendation system, and has a better application effect.
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