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Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank
v1v2 (latest)

Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank

Knowledge Discovery and Data Mining (KDD), 2022
3 June 2022
Mouxiang Chen
Chenghao Liu
Zemin Liu
Jianling Sun
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank"

2 / 2 papers shown
Identifiability Matters: Revealing the Hidden Recoverable Condition in
  Unbiased Learning to Rank
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to RankInternational Conference on Machine Learning (ICML), 2023
Mouxiang Chen
Chenghao Liu
Zemin Liu
Zhuo Li
Jianling Sun
CML
364
4
0
27 Sep 2023
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank
Towards Disentangling Relevance and Bias in Unbiased Learning to RankKnowledge Discovery and Data Mining (KDD), 2022
Yunan Zhang
Le Yan
Zhen Qin
Honglei Zhuang
Jiaming Shen
Xuanhui Wang
Michael Bendersky
Marc Najork
CML
250
22
0
28 Dec 2022
1
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