Degree-aware embedding-based multi-correlated graph convolutional collaborative filtering
Author:
Funder
the Science Fund for Outstanding Youth of Xinjiang Uygur Autonomous Region under Grant
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11227-024-06354-9.pdf
Reference40 articles.
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3. Ricci F, Rokach L, Shapira B (2020) Introduction to recommender systems handbook. In: Recommender Systems Handbook, pp 1–35. https://doi.org/10.1007/978-0-387-85820-3_1
4. Desarkar MS, Saxena R, Sarkar S (2012) Preference relation based matrix factorization for recommender systems. In: User Modeling, Adaptation, and Personalization: 20th International Conference, UMAP 2012, Montreal, Canada, July 16–20, 2012. Proceedings 20, pp 63–75. https://doi.org/10.1007/978-3-642-31454-4_6
5. Fang J, Grunberg D, Lui S, Wang Y (2017) Development of a music recommendation system for motivating exercise. In: 2017 International Conference on Orange Technologies (ICOT), pp 83–86. https://doi.org/10.1109/ICOT.2017.8336094
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