Funder
National Natural Science Foundation of China
Reference53 articles.
1. Matrix factorization for personalized recommendation with implicit feedback and temporal information in social ecommerce networks;Li;IEEE Access,2019
2. A. Anderson, L. Maystre, I. Anderson, R. Mehrotra, M. Lalmas, Algorithmic effects on the diversity of consumption on spotify, in: Proceedings of the Web Conference 2020, 2020, pp. 2155–2165.
3. G. Adomavicius, A. Tuzhilin, S. Berkovsky, E.W. De Luca, A. Said, Context-awareness in recommender systems: Research workshop and movie recommendation challenge, in: Proc. ACM Conf. Recomm. Syst., 2010, pp. 385–386.
4. S. Rendle, C. Freudenthaler, Z. Gantner, L. Schmidt-Thieme, BPR: Bayesian personalized ranking from implicit feedback, in: Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, 2009, pp. 452–461.
5. Z. Cao, T. Qin, T.-Y. Liu, M.-F. Tsai, H. Li, Learning to rank: from pairwise approach to listwise approach, in: Proceedings of the 24th International Conference on Machine Learning, 2007, pp. 129–136.