An Empirical Analysis on Multi-turn Conversational Recommender Systems.
Lu Zhang|Chen Li|Yu Lei|Zhu Sun|Guanfeng Liu
| Anthology ID: | DBLP:conf/sigir/0063LL0L24 |
|---|---|
| Volume: | Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024 |
| Year: | 2024 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 841-851 |
| URL: | https://doi.org/10.1145/3626772.3657893 |
| DOI: | https://doi.org/10.1145/3626772.3657893 |
| DBLP: | conf/sigir/0063LL0L24 |
| BibTeX: |
@inproceedings{zhang-2024-empirical,
author = {Lu Zhang and
Chen Li and
Yu Lei and
Zhu Sun and
Guanfeng Liu},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{An Empirical Analysis on Multi-turn Conversational Recommender Systems}},
booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}},
pages = {841--851},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657893},
doi = {https://doi.org/10.1145/3626772.3657893}
}