Correlation and prediction of high-cost information retrieval evaluation metrics using deep learning
Introduction. To reduce cost of the evaluation of information retrieval systems, this study proposes a method that employs deep learning to predict the precision evaluation metric. It also aims to show why some of existing evaluation metrics correlate with each other while considering the varying di...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Univ Sheffield Dept Information Studies
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/42045/ https://doi.org/10.47989/irpaper920 |
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