基于大数据分析的智慧校园活动推荐
Recommendation of Smart Campus Activities Based on Big Data Analysis
林国凤 1章梓豪 1陈婷婷 1张勤1
作者信息
摘要
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.
Abstract
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.
关键词
推荐系统/智慧校园/数据分析/数据挖掘Key words
recommendation system/smart campus/data analysis/data mining引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据