A Bayesian Neural Model for Documents' Relevance Estimation.
Alberto Purpura|Gian Antonio Susto
| Anthology ID: | DBLP:conf/desires/PurpuraS21 |
|---|---|
| Volume: | Proceedings of the Second International Conference on Design of Experimental Search & Information REtrieval Systems, Padova, Italy, September 15-18, 2021. |
| Year: | 2021 |
| Venue: | Biennial Conference on Design of Experimental Search & Information Retrieval Systems (DESIRES) |
| Publisher: | CEUR-WS.org |
| Pages: | 156-161 |
| URL: | https://ceur-ws.org/Vol-2950/paper-15.pdf |
| DBLP: | conf/desires/PurpuraS21 |
| BibTeX: |
@inproceedings{purpura-2021-bayesian,
author = {Alberto Purpura and
Gian Antonio Susto},
editor = {Omar Alonso and
Stefano Marchesin and
Marc Najork and
Gianmaria Silvello},
title = {{A Bayesian Neural Model for Documents' Relevance Estimation}},
booktitle = {{Proceedings of the Second International Conference on Design of Experimental Search & Information REtrieval Systems, Padova, Italy, September 15-18, 2021}},
series = {CEUR Workshop Proceedings},
volume = {2950},
pages = {156--161},
publisher = {CEUR-WS.org},
year = {2021},
url = {https://ceur-ws.org/Vol-2950/paper-15.pdf}
}