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} }