Cost-Sensitive Learning to Rank
DOI:
https://doi.org/10.1609/aaai.v33i01.33014570Abstract
We formulate the Cost-Sensitive Learning to Rank problem of learning to prioritize limited resources to mitigate the most costly outcomes. We develop improved ranking models to solve this problem, as verified by experiments in diverse domains such as forest fire prevention, crime prevention, and preventing storm caused outages in electrical networks.
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Published
2019-07-17
How to Cite
McBride, R., Wang, K., Ren, Z., & Li, W. (2019). Cost-Sensitive Learning to Rank. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 4570-4577. https://doi.org/10.1609/aaai.v33i01.33014570
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AAAI Technical Track: Machine Learning