Research and Implementation of a Cloud-based Sports and Fitness Resource Service System

Currently, the traditional sports fitness model no longer conforms to the rapid development of mass sports. However, due to the imbalance in the allocation of sports fitness resources, many people cannot obtain high-quality sports fitness services. Against the backdrop of national fitness, the sports industry also needs to transform towards digitization and informatization. To address these two issues, this paper designs an open, shared, multi-organization, and multi-tenant sports fitness resource service cloud platform. By proposing the mode and model of sports fitness resource service, it provides diversified support services for sports fitness enthusiasts. The platform provides a unified access portal for sports fitness enthusiasts and sports organizations, connecting them to the platform and breaking the geographical restrictions between sports participants and service organizations. By formulating unified management rules and service standards, sports organizations without information technology capabilities are equipped with cloud service capabilities, helping sports organizations complete digital transformation. Meanwhile, this study proposes a sports knowledge recommendation method based on the K-means and collaborative filtering algorithms. Through comparative experiments, the results prove the effectiveness and feasibility of this method in sports knowledge recommendation.

Authors

Institutions

Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/itnec60942.2024.10732961
Primary Topic
Diverse Approaches in Healthcare and Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research and Implementation of a Cloud-based Sports and Fitness Resource Service System

Jian Zhang, Zibo Liu, Yuedi Gou, Yuan Liao et al.
Diverse Approaches in Healthcare and Education Studies
article

Research and Implementation of a Cloud-based Sports and Fitness Resource Service System

Jian Zhang, Zibo Liu, Yuedi Gou, Yuan Liao, Jie Zhang
article en

Abstract

Currently, the traditional sports fitness model no longer conforms to the rapid development of mass sports. However, due to the imbalance in the allocation of sports fitness resources, many people cannot obtain high-quality sports fitness services. Against the backdrop of national fitness, the sports industry also needs to transform towards digitization and informatization. To address these two issues, this paper designs an open, shared, multi-organization, and multi-tenant sports fitness resource service cloud platform. By proposing the mode and model of sports fitness resource service, it provides diversified support services for sports fitness enthusiasts. The platform provides a unified access portal for sports fitness enthusiasts and sports organizations, connecting them to the platform and breaking the geographical restrictions between sports participants and service organizations. By formulating unified management rules and service standards, sports organizations without information technology capabilities are equipped with cloud service capabilities, helping sports organizations complete digital transformation. Meanwhile, this study proposes a sports knowledge recommendation method based on the K-means and collaborative filtering algorithms. Through comparative experiments, the results prove the effectiveness and feasibility of this method in sports knowledge recommendation.

Beijing University of Technology (CN)
Openalex Percentile: Top 70%
Diverse Approaches in Healthcare and Education Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.