Learning to Rank for Non Independent and Identically Distributed Datasets.
Jacopo Cecchetti|Nicola Tonellotto|Raffaele Perego
| Anthology ID: | DBLP:conf/ictir/CecchettiT024 |
|---|---|
| Volume: | Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2024, Washington, DC, USA, 13 July 2024 |
| Year: | 2024 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 71-79 |
| URL: | https://doi.org/10.1145/3664190.3672513 |
| DOI: | https://doi.org/10.1145/3664190.3672513 |
| DBLP: | conf/ictir/CecchettiT024 |
| BibTeX: |
@inproceedings{cecchetti-2024-learning,
author = {Jacopo Cecchetti and
Nicola Tonellotto and
Raffaele Perego},
editor = {Harrie Oosterhuis and
Hannah Bast and
Chenyan Xiong},
title = {{Learning to Rank for Non Independent and Identically Distributed Datasets}},
booktitle = {{Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2024, Washington, DC, USA, 13 July 2024}},
pages = {71--79},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3664190.3672513},
doi = {https://doi.org/10.1145/3664190.3672513}
}