A Game Theory Approach for Estimating Reliability of Crowdsourced Relevance Assessments.
Yashar Moshfeghi|Alvaro Francisco Huertas-Rosero
| Anthology ID: | DBLP:journals/tois/MoshfeghiH22 |
|---|---|
| Year: | 2022 |
| Venue: | ACM Transactions on Information Systems (TOIS) |
| Pages: | 60:1-60:29 |
| URL: | https://doi.org/10.1145/3480965 |
| DOI: | https://doi.org/10.1145/3480965 |
| DBLP: | journals/tois/MoshfeghiH22 |
| BibTeX: |
@article{moshfeghi-2022-game,
author = {Yashar Moshfeghi and
Alvaro Francisco Huertas-Rosero},
title = {{A Game Theory Approach for Estimating Reliability of Crowdsourced Relevance Assessments}},
journal = {ACM Transactions on Information Systems (TOIS)},
volume = {40},
number = {3},
pages = {60:1--60:29},
year = {2022},
url = {https://doi.org/10.1145/3480965},
doi = {https://doi.org/10.1145/3480965}
}