Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization
NEUROCOMPUTING, pp. 84-95, 2020.
Course recommendation systems are applied to help students with different needs select courses in a large range of course resources. However, a student's needs are not always determined by their personal interests, they are also influenced by teachers, peers etc. Unlike online courses, user behavior and user satisfaction of offline course...More
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