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Using a machine learning method can effectively improve the overall performance of the community management system. The community management system tests the response time of a number of online users. This can meet the requirement that the user can simultaneously access the system. In terms of page access success rate, the method in this paper has the highest response success rate in different numbers of people, with a value of 95.4%. When accessing a resource, the system response time increases as the number of visitors increases, and especially when the number of visitors reaches 1,000, the response time of all methods is relatively long.<\/jats:p>","DOI":"10.1142\/s0218126625504316","type":"journal-article","created":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T17:02:14Z","timestamp":1753894934000},"source":"Crossref","is-referenced-by-count":0,"title":["Intelligent Optimization of College Student Association Management Systems Using Machine Learning Models"],"prefix":"10.1142","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-0797-9861","authenticated-orcid":false,"given":"Wenjing","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Science and Technology, Ningbo University, Ningbo 315300, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7653-8616","authenticated-orcid":false,"given":"Chenguang","family":"Pan","sequence":"additional","affiliation":[{"name":"College of Science and Technology, Ningbo University, Ningbo 315300, P.\u00a0R.\u00a0China"}]}],"member":"219","published-online":{"date-parts":[[2025,9,4]]},"reference":[{"key":"S0218126625504316BIB001","first-page":"66","volume":"10","author":"Sun S. 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