Unbiased Learning-to-Rank with Biased Feedback

16 August 2016

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

50 / 159 papers shown

Title
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization Shashank Gupta Harrie Oosterhuis Maarten de Rijke 42 14 0 26 Apr 2023
COUPA: An Industrial Recommender System for Online to Offline Service Platforms Sicong Xie Binbin Hu Feng Li Ziqi Liu Qing Cui Wenliang Zhong Jun Zhou 21 0 0 25 Apr 2023
A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits Liu Leqi Giulio Zhou Fatma Kilincc-Karzan Zachary Chase Lipton A. Montgomery 27 2 0 16 Apr 2023
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data Masahiro Kato Shuting Wu Kodai Kureishi Shota Yasui 15 1 0 08 Mar 2023
Unbiased Learning to Rank with Biased Continuous Feedback Yi Ren Hongyan Tang Siwen Zhu CML 25 7 0 08 Mar 2023
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation Shuai Xiao Zaifan Jiang Shuang Yang 14 3 0 03 Mar 2023
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter Vanessa Cai Pradeep Prabakar Manuel Serrano Rebuelta Lucas Rosen Federico Monti ... Tomo Lazovich J. Raj Y. Shrinivasan Hao Li Thomas Markovich 37 0 0 27 Feb 2023
Practical Bandits: An Industry Perspective Bram van den Akker Olivier Jeunen Ying Li Ben London Zahra Nazari Devesh Parekh 29 5 0 02 Feb 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation Michael Färber Melissa Coutinho Shuzhou Yuan 34 7 0 18 Jan 2023
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank Yunan Zhang Le Yan Zhen Qin Honglei Zhuang Jiaming Shen Xuanhui Wang Michael Bendersky Marc Najork CML 26 12 0 28 Dec 2022
Cross-Dataset Propensity Estimation for Debiasing Recommender Systems Fengyu Li Sarah Dean 9 0 0 22 Dec 2022
Multi-Task Off-Policy Learning from Bandit Feedback Joey Hong Branislav Kveton S. Katariya Manzil Zaheer Mohammad Ghavamzadeh OffRL 40 10 0 09 Dec 2022
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders Xiaohan Li Zheng Liu Luyi Ma Kaushiki Nag Stephen D. Guo Philip Yu Kannan Achan CML 35 6 0 16 Nov 2022
Whole Page Unbiased Learning to Rank Haitao Mao Lixin Zou Yujia Zheng Jiliang Tang Xiaokai Chu Jiashu Zhao Qian Wang Dawei Yin CML 26 4 0 19 Oct 2022
Off-policy evaluation for learning-to-rank via interpolating the item-position model and the position-based model Alexander K. Buchholz Ben London Giuseppe Di Benedetto Thorsten Joachims OffRL 26 2 0 15 Oct 2022
Bias-Aware Design for Informed Decisions: Raising Awareness of Self-Selection Bias in User Ratings and Reviews Qian Zhu Leo Yu-Ho Lo Meng Xia Zixin Chen Xiaojuan Ma 35 17 0 19 Sep 2022
Sales Channel Optimization via Simulations Based on Observational Data with Delayed Rewards: A Case Study at LinkedIn Diana M. Negoescu Pasha Khosravi Shadow Zhao Nanyu Chen P. Ahammad H. González 13 0 0 16 Sep 2022
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models Rohan Anil S. Gadanho Danya Huang Nijith Jacob Zhuoshu Li ... Cristina Pop Kevin Regan G. Shamir Rakesh Shivanna Qiqi Yan 3DV 34 41 0 12 Sep 2022
Intersection of Parallels as an Early Stopping Criterion Ali Vardasbi Maarten de Rijke Mostafa Dehghani MoMe 46 5 0 19 Aug 2022
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification Erik Schultheis Marek Wydmuch Rohit Babbar Krzysztof Dembczyñski 19 27 0 26 Jul 2022
Bilateral Self-unbiased Learning from Biased Implicit Feedback Jae-woong Lee Seongmin Park Joonseok Lee Jongwuk Lee CML 32 12 0 26 Jul 2022
A Large Scale Search Dataset for Unbiased Learning to Rank Lixin Zou Haitao Mao Xiaokai Chu Jiliang Tang Wenwen Ye Shuaiqiang Wang Dawei Yin 12 23 0 07 Jul 2022
The Bandwagon Effect: Not Just Another Bias N. Knyazev Harrie Oosterhuis CML 9 7 0 25 Jun 2022
Measurement and applications of position bias in a marketplace search engine Richard Demsyn-Jones 21 1 0 23 Jun 2022
Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking Yuta Saito Thorsten Joachims 18 24 0 15 Jun 2022
Pessimistic Off-Policy Optimization for Learning to Rank Matej Cief Branislav Kveton Michal Kompan OffRL 26 3 0 06 Jun 2022
Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank Mouxiang Chen Chenghao Liu Zemin Liu Jianling Sun 46 7 0 03 Jun 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems Lequn Wang Thorsten Joachims 30 22 0 30 May 2022
Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling Alexander K. Buchholz Jan Malte Lichtenberg Giuseppe Di Benedetto Yannik Stein Vito Bellini M. Ruffini 273 2 0 12 May 2022
Joint Multisided Exposure Fairness for Recommendation Haolun Wu Bhaskar Mitra Chen Ma Fernando Diaz Xue Liu FaML 24 64 0 29 Apr 2022
Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking Ali Vardasbi F. Sarvi Maarten de Rijke 35 10 0 28 Apr 2022
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion Adam Block Rahul Kidambi Daniel N. Hill Thorsten Joachims Inderjit S. Dhillon CML 27 6 0 22 Apr 2022
Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to Rank Harrie Oosterhuis CML 39 27 0 31 Mar 2022
A Real-World Implementation of Unbiased Lift-based Bidding System Daisuke Moriwaki Yuta Hayakawa Akira Matsui Yuta Saito Isshu Munemasa Masashi Shibata 19 2 0 23 Feb 2022
Fair ranking: a critical review, challenges, and future directions Gourab K. Patro Lorenzo Porcaro Laura Mitchell Qiuyue Zhang Meike Zehlike Nikhil Garg 31 51 0 29 Jan 2022
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems Zohreh Ovaisi Shelby Heinecke Jia Li Yongfeng Zhang Elena Zheleva Caiming Xiong 33 21 0 12 Jan 2022
Deep Causal Reasoning for Recommendations Yaochen Zhu Jing Yi Jiayi Xie Zhenzhong Chen CML BDL 32 10 0 06 Jan 2022
Obtaining Calibrated Probabilities with Personalized Ranking Models Wonbin Kweon SeongKu Kang Hwanjo Yu FedML 11 15 0 09 Dec 2021
Unbiased Pairwise Learning to Rank in Recommender Systems Yi Ren Hongyan Tang Siwen Zhu CML 16 1 0 25 Nov 2021
End-to-end Learning for Fair Ranking Systems James Kotary Ferdinando Fioretto Pascal Van Hentenryck Ziwei Zhu FaML 173 20 0 21 Nov 2021
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank Yiling Jia Hongning Wang FaML OnRL 33 2 0 01 Nov 2021
Deconfounded Causal Collaborative Filtering Shuyuan Xu Juntao Tan Shelby Heinecke Jia Li Yongfeng Zhang CML 40 40 0 14 Oct 2021
Ranking Models in Unlabeled New Environments Xiaoxiao Sun Yunzhong Hou Weijian Deng Hongdong Li Liang Zheng OOD 24 9 0 23 Aug 2021
Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm Lin Bo Liang Pang Gang Wang Jun Xu Xiuqiang He Jirong Wen 39 3 0 12 Aug 2021
Conditional Sequential Slate Optimization Yipeng Zhang Mingjian Lu Saratchandra Indrakanti M. Kannadasan A. Bagherjeiran 26 0 0 12 Aug 2021
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox A. Tran Tao Yang Qingyao Ai 16 19 0 11 Aug 2021
Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce Xuesi Wang Guangda Huzhang Qianying Lin Qing Da 17 1 0 19 Jul 2021
Imitate TheWorld: A Search Engine Simulation Platform Yongqing Gao Guangda Huzhang Weijie Shen Yawen Liu Wen-Ji Zhou Qing Da Yang Yu 28 3 0 16 Jul 2021
On component interactions in two-stage recommender systems Jiri Hron K. Krauth Michael I. Jordan Niki Kilbertus CML LRM 42 31 0 28 Jun 2021
Stratified Learning: A General-Purpose Statistical Method for Improved Learning under Covariate Shift Maximilian Autenrieth David van Dyk R. Trotta D. Stenning OOD 11 3 0 21 Jun 2021