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Identifiability Matters: Revealing the Hidden Recoverable Condition in
  Unbiased Learning to Rank

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

27 September 2023
Mouxiang Chen
Chenghao Liu
Zemin Liu
Zhuo Li
Jianling Sun
    CML
ArXivPDFHTML

Papers citing "Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank"

3 / 3 papers shown
Title
Understanding the Effects of the Baidu-ULTR Logging Policy on Two-Tower
  Models
Understanding the Effects of the Baidu-ULTR Logging Policy on Two-Tower Models
Morris de Haan
Philipp Hager
16
0
0
18 Sep 2024
Unbiased Learning to Rank Meets Reality: Lessons from Baidu's
  Large-Scale Search Dataset
Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset
Philipp Hager
Romain Deffayet
J. Renders
O. Zoeter
Maarten de Rijke
31
4
0
03 Apr 2024
Improving Deep Learning For Airbnb Search
Improving Deep Learning For Airbnb Search
Malay Haldar
Mustafa Abdool
Prashant Ramanathan
Tyler Sax
Lanbo Zhang
Aamir Mansawala
Shulin Yang
B. Turnbull
Junshuo Liao
17
39
0
10 Feb 2020
1