Recommendation of Smart Campus Activities Based on Big Data Analysis
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.
国家科技期刊平台
NSTL
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