Subject
Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems
Reference60 articles.
1. Joint neural collaborative filtering for recommender systems;Chen;ACM Transactions on Information Systems,2019
2. Multi-interest diversification for end-to-end sequential recommendation;Chen;ACM Transactions on Information Systems,2022
3. Session-based recommendation with local invariance;Chen,2019
4. Handling information loss of graph neural networks for session-based recommendation;Chen,2020
5. Cheng, H., Koc, L., Harmsen, J., Shaked, T., Chandra, T., Aradhye, H., Anderson, G., Corrado, G., Chai, W., Ispir, M., Anil, R., Haque, Z., Hong, L., Jain, V., Liu, X., & Shah, H. (2016). Wide & Deep Learning for Recommender Systems. In Proceedings of the 1st workshop on deep learning for recommender systems DLRS@RecSys, (pp. 7–10).
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