基于层次模糊评价的高素质农民线上培训课程推荐技术研究及应用——以某农机化教育培训中心为例

Research and application of online training course recommendation technology for high-quality farmers based on hierarchical fuzzy evaluation:A case study of agricultural mechanization education and training center

为了加快适应新时期高素质农民教育培训的发展需求,利用信息化手段提高素质农民在线培训参与度。通过层次分析方法对高素质农民培训质量进行详细分析,针对高素质农民现状需求问题,提出培训质量评价算法,构建培训质量综合模型,并通过实例验证,证实所提方法的有效性。最后重点研究基于学员课程评分的协同过滤推荐算法应用于培训课程推荐模块的设计思路,并给出课程推荐系统关键部分实现方法。

In order to meet the development needs of high-quality farmers'education and training in the new era,we should use information means to improve the participation of high-quality farmers in online training.In this paper,the training quality of high-quality farmers is analyzed in detail by the analytic hierarchy process.Aiming at the current needs of high-quality farmers,the training quality evaluation algorithm is proposed,and the training quality comprehensive model is constructed.An experiment is conducted to verify the effectiveness of the proposed method.Finally,this paper focuses on applying the Collaborative Filtering Recommendation Algorithm based on student course scores to the training course recommendation module and gives the implementation method of key parts of the course recommendation system.