Towards Diversified Recommender Systems - RMGS

Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning

Cui, Z., Wu, H., He, B., Cheng, J. & Ma, C., Oct 2024, CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 404-414 (International Conference on Information and Knowledge Management, Proceedings).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Hyperbolic Contrastive Learning with Model-Augmentation for Knowledge-aware Recommendation

Sun, S. & Ma, C., 2024, Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024 - Proceedings. Bifet, A., Davis, J., Krilavičius, T., Kull, M., Ntoutsi, E. & Žliobaitė, I. (eds.). Springer, Cham, Vol. Part I. p. 199–217 19 p. (Lecture Notes in Computer Science; vol. 14941).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Scopus citations: 1