Listwise Learning to Rank Based on Approximate Rank Indicators

T Thonet, YG Cinar, E Gaussier, M Li… - Proceedings of the AAAI …, 2022 - ojs.aaai.org
We study here a way to approximate information retrieval metrics through a softmax-based
approximation of the rank indicator function. Indeed, this latter function is a key component in …
被引用次数：6 相关文章

Listwise Learning to Rank Based on Approximate Rank Indicators

T Thonet, YG Cinar, É Gaussier, M Li, JM Renders - AAAI, 2022 - openreview.net
We study here a way to approximate information retrieval metrics through a softmax-based
approximation of the rank indicator function. Indeed, this latter function is a key component in …
[PDF] aaai.org

[PDF][PDF] Listwise Learning to Rank Based on Approximate Rank Indicators

T Thonet, YG Cinar, E Gaussier, M Li, JM Renders - 2022 - cdn.aaai.org
We study here a way to approximate information retrieval metrics through a softmax-based
approximation of the rank indicator function. Indeed, this latter function is a key component in …
[PDF] aaai.org

[PDF][PDF] Listwise Learning to Rank Based on Approximate Rank Indicators

T Thonet, YG Cinar, E Gaussier, M Li, JM Renders - 2022 - ojs.aaai.org
We study here a way to approximate information retrieval metrics through a softmax-based
approximation of the rank indicator function. Indeed, this latter function is a key component in …
[PDF] archive.org

[PDF][PDF] Listwise Learning to Rank Based on Approximate Rank Indicators

T Thonet, YG Cinar, E Gaussier, M Li, JM Renders - 2022 - scholar.archive.org
We study here a way to approximate information retrieval metrics through a softmax-based
approximation of the rank indicator function. Indeed, this latter function is a key component in …