Funder
Sichuan Provincial Science and Technology Support Program
National Natural Science Foundation of China
National Key Research and Development Program of China
Reference50 articles.
1. Bahdanau, D., Cho, K. H., & Bengio, Y. (2015). Neural machine translation by jointly learning to align and translate. In 3rd international conference on learning representations.
2. Chen, Y., Liu, Z., Li, J., McAuley, J., & Xiong, C. (2022). Intent contrastive learning for sequential recommendation. In Proceedings of the ACM web conference 2022 (pp. 2172–2182).
3. Chen, W., Ren, P., Cai, F., Sun, F., & de Rijke, M. (2020). Improving end-to-end sequential recommendations with intent-aware diversification. In Proceedings of the 29th ACM international conference on information & knowledge management (pp. 175–184).
4. Chen, T., & Wong, R. C.-W. (2020). Handling information loss of graph neural networks for session-based recommendation. In Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining (pp. 1172–1180).
5. Cho, K., van Merrienboer, B., Gulcehre, C., Bougares, F., Schwenk, H., & Bengio, Y. (2014). Learning phrase representations using RNN encoder-decoder for statistical machine translation. In Conference on empirical methods in natural language processing.
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