IRnator: A Framework for Discovering Users Needs from Sets of Suggestions.
Agnès Mustar|Sylvain Lamprier|Benjamin Piwowarski
| Anthology ID: | DBLP:conf/ictir/MustarLP22 |
|---|---|
| Volume: | ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022 |
| Year: | 2022 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 138-143 |
| URL: | https://doi.org/10.1145/3539813.3545152 |
| DOI: | https://doi.org/10.1145/3539813.3545152 |
| DBLP: | conf/ictir/MustarLP22 |
| BibTeX: |
@inproceedings{mustar-2022-irnator,
author = {Agn\`{e}s Mustar and
Sylvain Lamprier and
Benjamin Piwowarski},
editor = {Fabio Crestani and
Gabriella Pasi and
\'{E}ric Gaussier},
title = {{IRnator: A Framework for Discovering Users Needs from Sets of Suggestions}},
booktitle = {{ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022}},
pages = {138--143},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3539813.3545152},
doi = {https://doi.org/10.1145/3539813.3545152}
}