Adaptive User Dynamic Interest Guidance for Generative Sequential Recommendation.
Kai Zhu|Jing Li|Jia Wu|Yue He|Jun Chang|Guohao Li|Shuyi Zhang
| Anthology ID: | DBLP:conf/sigir/0009L0HCLZ25 |
|---|---|
| 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: | 1645-1654 |
| URL: | https://doi.org/10.1145/3726302.3729888 |
| DOI: | https://doi.org/10.1145/3726302.3729888 |
| DBLP: | conf/sigir/0009L0HCLZ25 |
| BibTeX: |
@inproceedings{zhu-2025-adaptive,
author = {Kai Zhu and
Jing Li and
Jia Wu and
Yue He and
Jun Chang and
Guohao Li and
Shuyi Zhang},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Adaptive User Dynamic Interest Guidance for Generative Sequential Recommendation}},
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 = {1645--1654},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3729888},
doi = {https://doi.org/10.1145/3726302.3729888}
}