现代信息科技2023，Vol.7Issue(24)：45-48,4.DOI:10.19850/j.cnki.2096-4706.2023.24.011
基于协同过滤与概率主题模型的大学生行为模式挖掘研究
Research on College Students'Behavior Pattern Mining Based on Collaborative Filtering and Probabilistic Topic Model
摘要
Abstract
The enhancement of individual diversity among college students poses unprecedented challenges to the education management of universities.In the education big data environment,it has become particularly important to use data mining technology to extract valuable information from massive campus behavior data.A method for mining college student behavior patterns based on collaborative filtering and probabilistic topic models is proposed to address the sparsity of campus behavior data;the Hawkes process is used to simulate the generation of events and custom metrics are used to evaluate the performance of the model.The results show that the model can effectively mine behavior patterns of college students.Finally,the behavioral patterns of college students are analyzed from the perspectives of peer quantity and category selection.关键词
协同过滤/概率主题模型/校园行为/行为模式/Hawkes过程Key words
collaborative filtering/probabilistic topic model/campus behavior/behavior pattern/Hawkes process分类
信息技术与安全科学引用本文复制引用
刘涛..基于协同过滤与概率主题模型的大学生行为模式挖掘研究[J].现代信息科技,2023,7(24):45-48,4.基金项目
江西省教育科学"十三五"规划2020 年度课题(20YB206) （20YB206）
江西省高校人文社会科学研究 2021年度课题(JY21225) （JY21225）
