Towards Efficient Conversational Recommendations: Expected Value of Information Meets Bandit Learning.
Zhuohua Li|Maoli Liu|Xiangxiang Dai|John C. S. Lui
| Anthology ID: | DBLP:conf/www/0001LDL25 |
|---|---|
| Volume: | 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: | 4226-4238 |
| URL: | https://doi.org/10.1145/3696410.3714773 |
| DOI: | https://doi.org/10.1145/3696410.3714773 |
| DBLP: | conf/www/0001LDL25 |
| BibTeX: |
@inproceedings{li-2025-towards,
author = {Zhuohua Li and
Maoli Liu and
Xiangxiang Dai and
John C. S. Lui},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Towards Efficient Conversational Recommendations: Expected Value of Information Meets Bandit Learning}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {4226--4238},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714773},
doi = {https://doi.org/10.1145/3696410.3714773}
}