Author:
Xu Shuxiang,Xiang Qibu,Fan Yushun,Yan Ruyu,Zhang Jia
Publisher
Springer Nature Singapore
Reference27 articles.
1. Chang, J., et al.: Sequential recommendation with graph neural networks. In: Proceedings of The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 378–387 (2021)
2. Chen, T., Wong, R.C.W.: 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 (2020)
3. Fan, X., Liu, Z., Lian, J., Zhao, W.X., Xie, X., Wen, J.R.: Lighter and better: low-rank decomposed self-attention networks for next-item recommendation. In: Proceedings of The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1733–1737 (2021)
4. Gupta, P., Garg, D., Malhotra, P., Vig, L., Shroff, G.: Niser: normalized item and session representations to handle popularity bias. arXiv preprint arXiv:1909.04276 (2019)
5. Hidasi, B., Karatzoglou, A., Baltrunas, L., Tikk, D.: Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939 (2015)