PRE: A Precision-Recall-Effort Optimization Framework for Query Simulation.

Sahiti Labhishetty|ChengXiang Zhai


Anthology ID:DBLP:conf/ictir/LabhishettyZ22
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:51-60
URL:https://doi.org/10.1145/3539813.3545136
DOI:https://doi.org/10.1145/3539813.3545136
DBLP:conf/ictir/LabhishettyZ22
BibTeX:
@inproceedings{labhishetty-2022-pre, author = {Sahiti Labhishetty and ChengXiang Zhai}, editor = {Fabio Crestani and Gabriella Pasi and \'{E}ric Gaussier}, title = {{PRE: A Precision-Recall-Effort Optimization Framework for Query Simulation}}, booktitle = {{ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022}}, pages = {51--60}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3539813.3545136}, doi = {https://doi.org/10.1145/3539813.3545136} }