Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots.
Jia-Chen Gu|Hui Liu|Zhen-Hua Ling|Quan Liu|Zhigang Chen|Xiaodan Zhu
| Anthology ID: | DBLP:conf/sigir/GuLLLCZ21 |
|---|---|
| Volume: | SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 |
| Year: | 2021 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 565-574 |
| URL: | https://doi.org/10.1145/3404835.3462858 |
| DOI: | https://doi.org/10.1145/3404835.3462858 |
| DBLP: | conf/sigir/GuLLLCZ21 |
| BibTeX: |
@inproceedings{gu-2021-partner,
author = {Jia-Chen Gu and
Hui Liu and
Zhen-Hua Ling and
Quan Liu and
Zhigang Chen and
Xiaodan Zhu},
editor = {Fernando Diaz and
Chirag Shah and
Torsten Suel and
Pablo Castells and
Rosie Jones and
Tetsuya Sakai},
title = {{Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots}},
booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}},
pages = {565--574},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3404835.3462858},
doi = {https://doi.org/10.1145/3404835.3462858}
}