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A recommender system predicts users' potential interests in items, where the core is to learn user/item embeddings.
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2021
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X. Li, Z. Liu, S. Guo, Z. Liu, H. Peng, P. S. Yu, and K. Achan, “Pre-training recommender systems via reinforced attentive multi-relational graph neural network,” in IEEE BigData . IEEE, 2021
2021
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F. Zhu, Y. Wang, C. Chen, J. Zhou, L. Li, and G. Liu, “Cross-domain recommendation: Challenges, progress, and prospects,” in Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021 , Z. Zhou, Ed. ijcai.org, 2021, pp. 4721–4728
2021
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