Abstract
The user model is one of the crucial components in the knowledge management system in general and the recommendation system in a specialty. Usually, the user model is created from simple profile information such as full name, date of birth, gender, etc. The data extracted from this information is limited, easily duplicated, and has not featured vector personal, so it is difficult to give exact recommendations. The decision to choose a university and majors is very important, but students at high school are not sure how to match their interests, their strengths with their working future or majors. Therefore, high school students need guidance and support. Moreover, students need to filter, prioritize, and efficiently get appropriate information from the web in order to solve the problem of information overload. This paper proposes an ontology-based approach to exploring information about hobbies, fingerprints, friend circles, social relationships, and reviews from parents, friends, and teachers in the recommendation system for high school students.
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Vu, T.N., Nguyen, T.D.A., Le, T.D. (2020). Develop High School Students Recommendation System Based on Ontology. In: Dang, T.K., Küng, J., Takizawa, M., Chung, T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2020. Communications in Computer and Information Science, vol 1306. Springer, Singapore. https://doi.org/10.1007/978-981-33-4370-2_34
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DOI: https://doi.org/10.1007/978-981-33-4370-2_34
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