Abstract
Traditional campus services are often difficult to meet the different needs of students, faculty, and school administrators. It is necessary to design a future campus intelligent service platform, which uses micro-service component architecture to achieve modularity and scalability. Combined with intelligent computer technology, this paper combines intelligent technology to build a smart campus (SC) system under the concept of digital intelligence empowerment, designs a fit calculation formula based on user portraits, and organically integrates user portraits with learning resource recommendations. This paper chooses collaborative filtering algorithm and association rule algorithm and makes use of users’ professional characteristics to supplement them to generate recommended candidate sets. Finally, through the experimental study, we can see that the user portrait recommendation method proposed in this paper is suitable for teaching resources recommendation in SC, and through systematic evaluation, we can see that the SC system proposed in this paper is theoretically reliable.
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