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} }