关键词: 高素质农民, 线上培训, 质量评价

Abstract: 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.

Key words: high-quality peasants, online training, quality evaluation