Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search.
Dake Zhang|Amir Vakili Tahami|Mustafa Abualsaud|Mark D. Smucker
| Anthology ID: | DBLP:conf/sigir/ZhangTAS22 |
|---|---|
| Volume: | SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022 |
| Year: | 2022 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2099-2104 |
| URL: | https://doi.org/10.1145/3477495.3531812 |
| DOI: | https://doi.org/10.1145/3477495.3531812 |
| DBLP: | conf/sigir/ZhangTAS22 |
| BibTeX: |
@inproceedings{zhang-2022-learning,
author = {Dake Zhang and
Amir Vakili Tahami and
Mustafa Abualsaud and
Mark D. Smucker},
editor = {Enrique Amig\'{o} and
Pablo Castells and
Julio Gonzalo and
Ben Carterette and
J. Shane Culpepper and
Gabriella Kazai},
title = {{Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search}},
booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}},
pages = {2099--2104},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3477495.3531812},
doi = {https://doi.org/10.1145/3477495.3531812}
}