Application of Collaborative Filtering Algorithm of Resource Management Software in Community Service

The role of resource management software in community service is very important, but there is a problem of inaccurate outcome evaluation. The similarity measurement algorithm cannot solve the resource management software problem in community service, and the evaluation is unreasonable. Therefore, this paper proposes a collaborative filtering algorithm for resource management software analysis. Firstly, the Pearson correlation coefficient theory is used to evaluate the resource management software, and the indicators are divided according to the requirements of the resource management software and reduced Distractions in resource management software. Then, Pearson's correlation coefficient theory forms a resource management software scheme for resource management software and synthesizes the results of resource management software Analyze. THERLOY shows that in the case of certain evaluation criteria, collaborative filtering algorithms serve the community The accuracy of resource management software and the time of resource management software are better than the similarity measurement algorithm.