A Method for Recommending Sports Network Course Resources Based on Collaborative Filtering Technology

In the process of online course resource recommendation, the output of recommendation results is often unstable. Therefore, a physical education online course resource recommendation method based on collaborative filtering technology is proposed. Firstly, the learning preference of e-learners is cal...

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Autor principal:	Xu Bin
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology (General) T1-995 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/62c3505886784fc99d2a3546e91b47a4
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:62c3505886784fc99d2a3546e91b47a4
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spelling	oai:doaj.org-article:62c3505886784fc99d2a3546e91b47a42021-11-08T02:37:17ZA Method for Recommending Sports Network Course Resources Based on Collaborative Filtering Technology1939-012210.1155/2021/1082697https://doaj.org/article/62c3505886784fc99d2a3546e91b47a42021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1082697https://doaj.org/toc/1939-0122In the process of online course resource recommendation, the output of recommendation results is often unstable. Therefore, a physical education online course resource recommendation method based on collaborative filtering technology is proposed. Firstly, the learning preference of e-learners is calculated, the frequency index of the word frequency-inverse document is defined, the correlation between courses is reflected, and the specific needs of students for PE online course resource recommendation are understood. Then, the collaborative filtering recommendation algorithm is used to generate the similarity matrix and correlation matrix, update the edge characteristics of sports online curriculum resources, collect and refine the hidden index of sports online curriculum resources, optimize the prediction rules of the neighborhood of the most similar teaching unit, and complete the recommendation of sports online curriculum resources. Experimental results show that, for 1000 keywords, the method has the highest single average matching degree, the recommendation process is stable, and the F1 value is more than 0.9, and the practical application is ensured.Xu BinHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995 Science (General) Q1-390
spellingShingle	Technology (General) T1-995 Science (General) Q1-390 Xu Bin A Method for Recommending Sports Network Course Resources Based on Collaborative Filtering Technology
description	In the process of online course resource recommendation, the output of recommendation results is often unstable. Therefore, a physical education online course resource recommendation method based on collaborative filtering technology is proposed. Firstly, the learning preference of e-learners is calculated, the frequency index of the word frequency-inverse document is defined, the correlation between courses is reflected, and the specific needs of students for PE online course resource recommendation are understood. Then, the collaborative filtering recommendation algorithm is used to generate the similarity matrix and correlation matrix, update the edge characteristics of sports online curriculum resources, collect and refine the hidden index of sports online curriculum resources, optimize the prediction rules of the neighborhood of the most similar teaching unit, and complete the recommendation of sports online curriculum resources. Experimental results show that, for 1000 keywords, the method has the highest single average matching degree, the recommendation process is stable, and the F1 value is more than 0.9, and the practical application is ensured.
format	article
author	Xu Bin
author_facet	Xu Bin
author_sort	Xu Bin
title	A Method for Recommending Sports Network Course Resources Based on Collaborative Filtering Technology
title_short	A Method for Recommending Sports Network Course Resources Based on Collaborative Filtering Technology
title_full	A Method for Recommending Sports Network Course Resources Based on Collaborative Filtering Technology
title_fullStr	A Method for Recommending Sports Network Course Resources Based on Collaborative Filtering Technology
title_full_unstemmed	A Method for Recommending Sports Network Course Resources Based on Collaborative Filtering Technology
title_sort	method for recommending sports network course resources based on collaborative filtering technology
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/62c3505886784fc99d2a3546e91b47a4
work_keys_str_mv	AT xubin amethodforrecommendingsportsnetworkcourseresourcesbasedoncollaborativefilteringtechnology AT xubin methodforrecommendingsportsnetworkcourseresourcesbasedoncollaborativefilteringtechnology
_version_	1718443006166564864

A Method for Recommending Sports Network Course Resources Based on Collaborative Filtering Technology

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