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A Recommendation Method of National Fitness Items Based on Neural Network Algorithm

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成果类型:
期刊论文
作者:
Li, Liangming;Yang, Aihua
通讯作者:
Yang, AH
作者机构:
[Li, Liangming] Hunan Univ Sci & Technol, Sch Phys Educ, Xiangtan 411201, Peoples R China.
[Yang, Aihua] Changsha Univ Sci & Technol, Sch Phys Educ, Changsha 410076, Peoples R China.
通讯机构:
[Yang, AH ] C
Changsha Univ Sci & Technol, Sch Phys Educ, Changsha 410076, Peoples R China.
语种:
英文
期刊:
Scientific Programming
ISSN:
1058-9244
年:
2022
卷:
2022
基金类别:
Hunan Social Science Achievements Evaluation Committee [XSP21YBZ061]
机构署名:
本校为通讯机构
院系归属:
体育学院
摘要:
In order to improve the effectiveness of national fitness programs, this article analyzes the method of national fitness items recommendation based on a neural network algorithm. By using the time and space characteristics of fitness users' sign-in, a novel POI recommendation model is proposed, and a novel fusion method is proposed to combine similarity and spatial similarity to achieve the final similarity calculation based on fitness users' temporal and spatial preferences. In addition, in order to model the spatial similarity of fitness user...

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