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Unbiased Learning-to-Rank with Biased Feedback

Unbiased Learning-to-Rank with Biased Feedback

16 August 2016
Thorsten Joachims
Adith Swaminathan
Tobias Schnabel
    CML
ArXivPDFHTML

Papers citing "Unbiased Learning-to-Rank with Biased Feedback"

50 / 159 papers shown
Title
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity
Shiyin Tan
Dongyuan Li
Renhe Jiang
Zhen Wang
Xingtong Yu
Manabu Okumura
CML
12
0
0
20 May 2025
To Judge or not to Judge: Using LLM Judgements for Advertiser Keyphrase Relevance at eBay
To Judge or not to Judge: Using LLM Judgements for Advertiser Keyphrase Relevance at eBay
Soumik Dey
Hansi Wu
Binbin Li
52
0
0
07 May 2025
Counterfactual Inference under Thompson Sampling
Counterfactual Inference under Thompson Sampling
Olivier Jeunen
OffRL
LRM
42
0
0
03 Apr 2025
Understanding Visual Saliency of Outlier Items in Product Search
Understanding Visual Saliency of Outlier Items in Product Search
F. Sarvi
Mohammad Aliannejadi
Sebastian Schelter
Maarten de Rijke
49
0
0
30 Mar 2025
A Survey of Model Architectures in Information Retrieval
A Survey of Model Architectures in Information Retrieval
Zhichao Xu
Fengran Mo
Zhiqi Huang
Crystina Zhang
Puxuan Yu
Bei Wang
Jimmy J. Lin
Vivek Srikumar
KELM
3DV
84
2
0
21 Feb 2025
Judging the Judges: A Collection of LLM-Generated Relevance Judgements
Judging the Judges: A Collection of LLM-Generated Relevance Judgements
Hossein A. Rahmani
Clemencia Siro
Mohammad Aliannejadi
Nick Craswell
Charles L. A. Clarke
Guglielmo Faggioli
Bhaskar Mitra
Paul Thomas
Emine Yilmaz
ELM
64
1
0
20 Feb 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
Jiafeng Guo
Shihao Liu
Dawei Yin
Xueqi Cheng
68
0
0
17 Feb 2025
Unleashing the Power of Large Language Model for Denoising Recommendation
Unleashing the Power of Large Language Model for Denoising Recommendation
Shuyao Wang
Zhi Zheng
Yongduo Sui
Hui Xiong
111
0
0
13 Feb 2025
LiPO: Listwise Preference Optimization through Learning-to-Rank
LiPO: Listwise Preference Optimization through Learning-to-Rank
Tianqi Liu
Zhen Qin
Junru Wu
Jiaming Shen
Misha Khalman
...
Mohammad Saleh
Simon Baumgartner
Jialu Liu
Peter J. Liu
Xuanhui Wang
141
52
0
28 Jan 2025
Reducing Popularity Influence by Addressing Position Bias
Reducing Popularity Influence by Addressing Position Bias
Andrii Dzhoha
Alexey Kurennoy
Vladimir Vlasov
Marjan Celikik
64
0
0
11 Dec 2024
Self-Calibrated Listwise Reranking with Large Language Models
Self-Calibrated Listwise Reranking with Large Language Models
Ruiyang Ren
Yuhao Wang
K. Zhou
Wayne Xin Zhao
Wenjie Wang
Jing Liu
Ji-Rong Wen
Tat-Seng Chua
LRM
KELM
53
0
0
07 Nov 2024
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers
Chenyang Yang
Tesi Xiao
Michael Shavlovsky
Christian Kastner
Tongshuang Wu
49
0
0
07 Nov 2024
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large
  Language Models
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
Junda Wu
Xintong Li
Ruoyu Wang
Yu Xia
Yuxin Xiong
...
Xiang Chen
Branislav Kveton
Lina Yao
Jingbo Shang
Julian McAuley
OffRL
LRM
31
1
0
31 Oct 2024
Learning to Rank for Multiple Retrieval-Augmented Models through
  Iterative Utility Maximization
Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization
Alireza Salemi
Hamed Zamani
RALM
31
4
0
13 Oct 2024
Ranking Policy Learning via Marketplace Expected Value Estimation From
  Observational Data
Ranking Policy Learning via Marketplace Expected Value Estimation From Observational Data
Ehsan Ebrahimzadeh
Nikhil Monga
Hang Gao
Alex Cozzi
Abraham Bagherjeiran
CML
OffRL
30
0
0
06 Oct 2024
Proximal Ranking Policy Optimization for Practical Safety in
  Counterfactual Learning to Rank
Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rank
Shashank Gupta
Harrie Oosterhuis
Maarten de Rijke
OffRL
37
0
0
15 Sep 2024
GraphEx: A Graph-based Extraction Method for Advertiser Keyphrase Recommendation
GraphEx: A Graph-based Extraction Method for Advertiser Keyphrase Recommendation
Ashirbad Mishra
Soumik Dey
Marshall Wu
Jinyu Zhao
He Yu
Kaichen Ni
Binbin Li
Kamesh Madduri
59
2
0
05 Sep 2024
Contextual Dual Learning Algorithm with Listwise Distillation for
  Unbiased Learning to Rank
Contextual Dual Learning Algorithm with Listwise Distillation for Unbiased Learning to Rank
Lulu Yu
Keping Bi
Shiyu Ni
Jiafeng Guo
34
0
0
19 Aug 2024
Practical and Robust Safety Guarantees for Advanced Counterfactual
  Learning to Rank
Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank
Shashank Gupta
Harrie Oosterhuis
Maarten de Rijke
43
6
0
29 Jul 2024
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
To Eun Kim
Alireza Salemi
Andrew Drozdov
Fernando Diaz
Hamed Zamani
65
7
0
17 Jul 2024
Learning to Rank for Maps at Airbnb
Learning to Rank for Maps at Airbnb
Malay Haldar
Hongwei Zhang
Kedar Bellare
Sherry Chen
Soumyadip Banerjee
...
Mustafa Abdool
Huiji Gao
Pavan Tapadia
Liwei He
Sanjeev Katariya
31
1
0
25 Jun 2024
Off-Policy Evaluation from Logged Human Feedback
Off-Policy Evaluation from Logged Human Feedback
Aniruddha Bhargava
Lalit P. Jain
Branislav Kveton
Ge Liu
Subhojyoti Mukherjee
OffRL
34
2
0
14 Jun 2024
Survey for Landing Generative AI in Social and E-commerce Recsys -- the
  Industry Perspectives
Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectives
Da Xu
Danqing Zhang
Guangyu Yang
Bo Yang
Shuyuan Xu
Lingling Zheng
Cindy Liang
32
2
0
10 Jun 2024
Investigating the Robustness of Counterfactual Learning to Rank Models:
  A Reproducibility Study
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study
Zechun Niu
Jiaxin Mao
Qingyao Ai
Ji-Rong Wen
220
0
0
04 Apr 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
39
4
0
03 Apr 2024
Causal Learning for Trustworthy Recommender Systems: A Survey
Causal Learning for Trustworthy Recommender Systems: A Survey
Jin Li
Shoujin Wang
Qi Zhang
LongBing Cao
Fang Chen
Xiuzhen Zhang
Dietmar Jannach
Charu C. Aggarwal
CML
39
1
0
13 Feb 2024
A Unified Causal View of Instruction Tuning
A Unified Causal View of Instruction Tuning
Luyao Chen
Wei Huang
Ruqing Zhang
Wei Chen
Jiafeng Guo
Xueqi Cheng
33
1
0
09 Feb 2024
Position bias in features
Position bias in features
Richard Demsyn-Jones
17
1
0
04 Feb 2024
Relevance Feedback with Brain Signals
Relevance Feedback with Brain Signals
Ziyi Ye
Xiaohui Xie
Qingyao Ai
Yiqun Liu
Zhihong Wang
Weihang Su
Min Zhang
54
9
0
09 Dec 2023
Text-Transport: Toward Learning Causal Effects of Natural Language
Text-Transport: Toward Learning Causal Effects of Natural Language
Victoria Lin
Louis-Philippe Morency
Eli Ben-Michael
11
4
0
31 Oct 2023
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient
  Method
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method
Yulan Hu
Ouyang Sheng
Jingyu Liu
Ge Chen
Zhirui Yang
Junchen Wan
Fuzheng Zhang
Zhongyuan Wang
Yong Liu
36
0
0
23 Oct 2023
Robust Collaborative Filtering to Popularity Distribution Shift
Robust Collaborative Filtering to Popularity Distribution Shift
An Zhang
Wenchang Ma
Jingnan Zheng
Xiang Wang
Tat-Seng Chua
34
21
0
16 Oct 2023
Identifiability Matters: Revealing the Hidden Recoverable Condition in
  Unbiased Learning to Rank
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
Mouxiang Chen
Chenghao Liu
Zemin Liu
Zhuo Li
Jianling Sun
CML
34
2
0
27 Sep 2023
DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning
  in the Debiasing Perspective
DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning in the Debiasing Perspective
Pu Miao
Zeyao Du
Junlin Zhang
SSL
26
5
0
14 Sep 2023
Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation
Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation
Jan Malte Lichtenberg
Alexander K. Buchholz
Giuseppe Di Benedetto
M. Ruffini
Ben London
OffRL
29
2
0
03 Sep 2023
Inducing Causal Structure for Abstractive Text Summarization
Inducing Causal Structure for Abstractive Text Summarization
Luyao Chen
Ruqing Zhang
Wei Huang
Wei Chen
Jiafeng Guo
Xueqi Cheng
CML
26
1
0
24 Aug 2023
Click-Conversion Multi-Task Model with Position Bias Mitigation for
  Sponsored Search in eCommerce
Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce
Yibo Wang
Yanbing Xue
Bo Liu
Musen Wen
Wenting Zhao
Stephen D. Guo
Philip S. Yu
27
3
0
29 Jul 2023
Online Matching: A Real-time Bandit System for Large-scale
  Recommendations
Online Matching: A Real-time Bandit System for Large-scale Recommendations
Xinyang Yi
Shaoyang Wang
Ruining He
Hariharan Chandrasekaran
Charles Wu
Lukasz Heldt
Lichan Hong
Minmin Chen
Ed H. Chi
OffRL
38
3
0
29 Jul 2023
An IPW-based Unbiased Ranking Metric in Two-sided Markets
An IPW-based Unbiased Ranking Metric in Two-sided Markets
Keisho Oh
Naoki Nishimura
M. Sung
Ken Kobayashi
Kazuhide Nakata
6
0
0
14 Jul 2023
Understanding User Behavior in Carousel Recommendation Systems for Click
  Modeling and Learning to Rank
Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank
Santiago de Leon-Martinez
CML
LRM
26
2
0
04 Jul 2023
Multi-Scenario Ranking with Adaptive Feature Learning
Multi-Scenario Ranking with Adaptive Feature Learning
Yu Tian
Bofang Li
Si Chen
Xubin Li
Hongbo Deng
Jian Xu
Bo Zheng
Qian Wang
Chenliang Li
31
11
0
29 Jun 2023
Query Understanding in the Age of Large Language Models
Query Understanding in the Age of Large Language Models
Avishek Anand
Venktesh V
Abhijit Anand
Vinay Setty
LRM
56
4
0
28 Jun 2023
Off-Policy Evaluation of Ranking Policies under Diverse User Behavior
Off-Policy Evaluation of Ranking Policies under Diverse User Behavior
Haruka Kiyohara
Masatoshi Uehara
Yusuke Narita
N. Shimizu
Yasuo Yamamoto
Yuta Saito
OffRL
CML
36
8
0
26 Jun 2023
Unified Off-Policy Learning to Rank: a Reinforcement Learning
  Perspective
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective
Zeyu Zhang
Yi-Hsun Su
Hui Yuan
Yiran Wu
R. Balasubramanian
Qingyun Wu
Huazheng Wang
Mengdi Wang
OffRL
CML
44
4
0
13 Jun 2023
RankFormer: Listwise Learning-to-Rank Using Listwide Labels
RankFormer: Listwise Learning-to-Rank Using Listwide Labels
Maarten Buyl
Paul Missault
Pierre-Antoine Sondag
OffRL
19
7
0
09 Jun 2023
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR
  Prediction in Taobao
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao
Jingyue Gao
Shuguang Han
Ziru Xu
Siran Yang
Yuning Jiang
Jian Xu
Bo Zheng
46
13
0
06 Jun 2023
Ranking with Popularity Bias: User Welfare under Self-Amplification
  Dynamics
Ranking with Popularity Bias: User Welfare under Self-Amplification Dynamics
Guy Tennenholtz
Martin Mladenov
Nadav Merlis
Robert L. Axtell
Craig Boutilier
27
0
0
24 May 2023
Counterfactual Augmentation for Multimodal Learning Under Presentation
  Bias
Counterfactual Augmentation for Multimodal Learning Under Presentation Bias
Victoria Lin
Louis-Philippe Morency
Dimitrios Dimitriadis
Srinagesh Sharma
CML
37
1
0
23 May 2023
The Role of Relevance in Fair Ranking
The Role of Relevance in Fair Ranking
Aparna Balagopalan
Abigail Z. Jacobs
Asia J. Biega
40
8
0
09 May 2023
Recent Advances in the Foundations and Applications of Unbiased Learning
  to Rank
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank
Shashank Gupta
Philipp Hager
Jin Huang
Ali Vardasbi
Harrie Oosterhuis
OffRL
39
5
0
04 May 2023
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