A Method of Recommending Physical Education Network Course Resources Based on Machine Learning Algorithms

Author:

Wei Fu1ORCID

Affiliation:

1. South China Agricultural University, Guangzhou, Guangdong 510642, China

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.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

Reference18 articles.

1. The impact of learner-, instructor-, and course-level factors on online learning

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3. Analysis on the Construction of Personalized Physical Education Teaching System Based on a Cloud Computing Platform

4. Research on cooperative development mechanism of regional university sports teaching alliance under the concept of Co-construction, Co-governance and sharing;L. Chen;Journal of Guangzhou Sport University,2019

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