Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems.
Kayhan Behdin|Yun Dai|Gregory Dexter|Aman Gupta|Rahul Mazumder|Ankan Saha|Qingquan Song|Shao Tang|Sirou Zhu|Pin-Lun Hsu
| Anthology ID: | DBLP:conf/www/BehdinDDGMSSTZH25 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1-4 |
| URL: | https://doi.org/10.1145/3701716.3715868 |
| DOI: | https://doi.org/10.1145/3701716.3715868 |
| DBLP: | conf/www/BehdinDDGMSSTZH25 |
| BibTeX: |
@inproceedings{behdin-2025-efficient,
author = {Kayhan Behdin and
Yun Dai and
Gregory Dexter and
Aman Gupta and
Rahul Mazumder and
Ankan Saha and
Qingquan Song and
Shao Tang and
Sirou Zhu and
Pin-Lun Hsu},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {1--4},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3715868},
doi = {https://doi.org/10.1145/3701716.3715868}
}