基于大数据分析的智慧校园活动推荐OA
Recommendation of Smart Campus Activities Based on Big Data Analysis
智慧校园作为一个集信息化、智能化于一体的新型校园形态,为校园活动提供了极大的便利.本文提出了一种基于大数据分析的智慧校园活动推荐系统,旨在通过数据采集、数据预处理、数据分析、数据挖掘及推荐等步骤,为校园用户提供个性化的活动推荐服务.这一系统的应用将为智慧校园的建设提供有力支持,并为学生和教师带来更加便利、个性化的校园生活体验.
With the advent of the big data era,the field of education is also undergoing a profound KTPRN6 change.As a new campus form integrating informationization and intelligence,smart campus provides great convenience for campus activities.In this paper,a smart campus activity recommendation system based on big data analysis is proposed,aiming to provide personalized activity recommendation services for campus users through the steps of data collection,data preprocessing,data analysis,data mining and recommendation.The application of this system will provide strong support for the construction of smart campus and bring more convenient and personalized campus life experience for students and teachers.
林国凤;章梓豪;陈婷婷;张勤
厦门华厦学院,福建厦门 361000厦门华厦学院,福建厦门 361000厦门华厦学院,福建厦门 361000厦门华厦学院,福建厦门 361000
计算机与自动化
推荐系统智慧校园数据分析数据挖掘
recommendation systemsmart campusdata analysisdata mining
《数码设计》 2024 (11)
70-72,3
基于校园大数据的学习资源需求分析系统研究(项目编号:JAT200872)福建省中青年教师教育科研项目(科技类)
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