NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR.
Zihan Wang|Yujia Zhou|Yiteng Tu|Zhicheng Dou
| Anthology ID: | DBLP:conf/cikm/Wang0TD23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2656-2665 |
| URL: | https://doi.org/10.1145/3583780.3614993 |
| DOI: | https://doi.org/10.1145/3583780.3614993 |
| DBLP: | conf/cikm/Wang0TD23 |
| BibTeX: |
@inproceedings{wang-2023-novo,
author = {Zihan Wang and
Yujia Zhou and
Yiteng Tu and
Zhicheng Dou},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {2656--2665},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614993},
doi = {https://doi.org/10.1145/3583780.3614993}
}