1. Zhaochun Ren, et al., Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems, in: Proceedings of the 46th International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR, 2023, pp. 922–931.
2. Harvest shopping advice: Neural question generation from multiple information sources in E-commerce;Wang;Neurocomputing,2021
3. Yi Ren, et al., Unbiased Pairwise Learning from Implicit Feedback for Recommender Systems without Biased Variance Control, in: Proceedings of the 46th International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR, 2023, pp. 2461–2465.
4. Travis Ebesu, Bin Shen, Yi Fang, Collaborative Memory Network for Recommendation Systems, in: Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR, 2018, pp. 515–524.
5. Jheng-Hong Yang, et al., HOP-rec: High-order proximity for implicit recommendation, in: Proceedings of the 12th ACM Conference on Recommender Systems, RecSys, 2018, pp. 140–144.