Construction of"fitness+social system"from the perspective of large system
The project focuses on the construction of a"fitness+social system"from the perspective of a large-scale system.After conducting surveys and interviews with the general public in Beijing,Hebei,and other areas,combined with literature research methods,this study analyzes the current situation and user needs of fitness applications.Research has found that similar systems in China suffer from issues such as data bias,low information efficiency,and low user retention rates.A fitness social system framework based on"points,rewards,and algorithms"has been proposed.By building a points system,designing virtual rewards,recommendation algorithms,and other functions,the aim is to increase users'fitness time.The results indicate that the information activities of the fitness social system are intuitive,the point mechanism is reasonable,and the recommendation algorithm performs well,providing efficient and intelligent fitness social services.
fitness social systempoints systemrecommendation algorithmuser psychological needsdynamic island
NETL
NSTL
万方数据
