Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems.
Dayu Yang|Fumian Chen|Hui Fang
| Anthology ID: | DBLP:conf/sigir/YangC024 |
|---|---|
| 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: | 2286-2290 |
| URL: | https://doi.org/10.1145/3626772.3657924 |
| DOI: | https://doi.org/10.1145/3626772.3657924 |
| DBLP: | conf/sigir/YangC024 |
| BibTeX: |
@inproceedings{yang-2024-behavior,
author = {Dayu Yang and
Fumian Chen and
Hui Fang},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation 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 = {2286--2290},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657924},
doi = {https://doi.org/10.1145/3626772.3657924}
}