Abstract
Aiming at the problem of difficult selection of physical education online course resources, a method of recommending online course resources based on machine learning algorithms is proposed. The information recommendation model is established through the expression of a collaborative filtering algorithm and resource feedback matrix. According to the feedback score of any user on the same data resource in the project set, the interest matching degree is established by comparative analysis, and the matching degree is substituted into the cosine similarity function to calculate the similarity threshold between each item and so on, calculate the similarity threshold number of all items, select the project resource that best matches the user according to the threshold number, and complete the recommendation. The experimental results show that the recommended method of physical education network curriculum resources based on machine learning algorithm is relatively excellent in recommendation accuracy and efficiency; this method can realize the innovation of higher physical education network curriculum teaching mode.
Highlights
With the rapid development of Internet and mobile Internet technologies, online learning methods have been widely recognized by people
Test Preparation. e computer with the operating system Ubuntu Kylin 16.04 LTS is selected; combined with the characteristics of the physical education network curriculum resources, the resource data is processed into the physical education network curriculum resource dataset in a dichotomy method
Reduce the dimension of the physical education network curriculum resource dataset into a dataset to be labeled, calculate the similarity between the datasets, control the three recommendation algorithms to process the same similarity value, and define the physical education network curriculum resource recommendation process
Summary
With the rapid development of Internet and mobile Internet technologies, online learning methods have been widely recognized by people. Due to the lack of uniform standards for the construction and classification of online teaching resources, the design of online physical education resources is mostly developed based on personal experience. Aiming at the problems of the above methods, this article proposes a method of recommending physical education network course resources based on machine learning algorithms.
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