Unleashing the Potential of Diffusion Models Towards Diversified Sequential Recommendations.
Zhuo Cai|Shoujin Wang|Victor W. Chu|Usman Naseem|Yang Wang|Fang Chen
| Anthology ID: | DBLP:conf/sigir/0003WCN0025 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1476-1486 |
| URL: | https://doi.org/10.1145/3726302.3730109 |
| DOI: | https://doi.org/10.1145/3726302.3730109 |
| DBLP: | conf/sigir/0003WCN0025 |
| BibTeX: |
@inproceedings{cai-2025-unleashing,
author = {Zhuo Cai and
Shoujin Wang and
Victor W. Chu and
Usman Naseem and
Yang Wang and
Fang Chen},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Unleashing the Potential of Diffusion Models Towards Diversified Sequential Recommendations}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {1476--1486},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730109},
doi = {https://doi.org/10.1145/3726302.3730109}
}