ROME: a graph contrastive multi-view framework from hyperbolic angular space for MOOCs recommendation
As Massive Open Online Courses (MOOCs) expand and diversify, more and more researchers study recommender systems that take advantage of interaction data to keep students interested and boost their performance. In a typical roadmap, courses and videos are recommended using a graph model, but this d...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/109167/ https://ieeexplore.ieee.org/document/10001755/ |
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