Author:
Nuo Minghua,Han Xuanhe,Zhang Yuan
Publisher
Springer Nature Singapore
Reference24 articles.
1. Menghani, G.: Efficient deep learning: a survey on making deep learning models smaller, faster, and better. ACM Comput. Surv. 55(12), 1–37 (2023)
2. Naumov, M., Mudigere, D., Shi, H.J.M., et al.: Deep learning recommendation model for personalization and recommendation systems. arXiv preprint arXiv:1906.00091 (2019)
3. Fang, H., Zhang, D., Shu, Y., et al.: Deep learning for sequential recommendation: Algorithms, influential factors, and evaluations. ACM Trans. Inf. Syst. (TOIS) 39(1), 1–42 (2020)
4. Hao, B., Yin, H., Zhang, J., et al.: A multi-strategy-based pre-training method for cold-start recommendation. ACM Trans. Inf. Syst. 41(2), 1–24 (2023)
5. Ko, H., Lee, S., Park, Y., et al.: A survey of recommendation systems: recommendation models, techniques, and application fields. Electronics 11(1), 1–41 (2022)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献