Cloud storage–based personalized sports activity management in Internet plus O2O sports community

摘要

With the development of Internet plus technologies such as IoT, cloud computing, mobile Internet,and big data analysis, several new forms of sports community, which provided significant conveniencesto the exercisers, were proposed. However, online communications are still deficient,and relationships among exercisers and between exercisers and sports activities are absent. Tosolve these problems, an Internet plus O2O sports community was proposed, and the idea andmethods of sports activities management are discussed in this paper. Firstly, the activity managementframework contributed by activity organizers, participants, and followers is constructedusing cloud storage technology. Responsibilities of different kinds of users and constitution ofactivity data are also described. Secondly, six personalized recommendation algorithms, includingtag-based, relationship-based, ranking list–based, content-based, content-based collaborativefiltering, and user-based collaborative filtering algorithms and their application in sports communityare presented. Thirdly, a novel activity management model is designed, which supportsonline-offline deep fusion and providesmanagement of the whole procedures of a sports activity.Primary tasks of different activity stages are described. Finally, analysis methods and exhibitionforms of statistics, text, and multimedia data are discussed.