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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

3 April 2024
Philipp Hager
Romain Deffayet
J. Renders
O. Zoeter
Maarten de Rijke
ArXivPDFHTML

Papers citing "Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset"

4 / 4 papers shown
Title
Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models
Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models
Hongwei Shang
Nguyen Vo
Nitin Yadav
Tian Zhang
Ajit Puthenputhussery
Xunfan Cai
Shuyi Chen
Prijith Chandran
Changsung Kang
RALM
48
0
0
11 May 2025
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance
Lulu Yu
Keping Bi
J. Guo
Shihao Liu
Dawei Yin
Xueqi Cheng
68
0
0
17 Feb 2025
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based
  Risk Minimization
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization
Shashank Gupta
Harrie Oosterhuis
Maarten de Rijke
40
14
0
26 Apr 2023
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained
  Sequence-to-Sequence Models
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Ronak Pradeep
Rodrigo Nogueira
Jimmy J. Lin
MoE
67
167
0
14 Jan 2021
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