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} }