Learning with Exposure Constraints in Recommendation Systems

2 February 2023

Papers citing "Learning with Exposure Constraints in Recommendation Systems"

10 / 10 papers shown

Title
Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems Xiaopeng Ye Chen Xu Jun Xu Xuyang Xie Gang Wang Zhenhua Dong FaML 52 0 0 20 Apr 2025
Flattening Supply Chains: When do Technology Improvements lead to Disintermediation? S. Nageeb Ali Nicole Immorlica Meena Jagadeesan Brendan Lucier 30 0 0 28 Feb 2025
Efficient Individually Rational Recommender System under Stochastic Order Gal Bahar Omer Ben-Porat Kevin Leyton-Brown Moshe Tennenholtz 60 0 0 18 Feb 2025
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models Sarah Dean Evan Dong Meena Jagadeesan Liu Leqi 35 6 0 18 Apr 2024
Countering Mainstream Bias via End-to-End Adaptive Local Learning Jinhao Pan Ziwei Zhu Jianling Wang Allen Lin James Caverlee 16 2 0 13 Apr 2024
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms Nicole Immorlica Meena Jagadeesan Brendan Lucier OffRL 16 11 0 18 Jan 2024
Incentivized Collaboration in Active Learning Lee Cohen Han Shao FedML 25 0 0 01 Nov 2023
Incentivizing High-Quality Content in Online Recommender Systems Xinyan Hu Meena Jagadeesan Michael I. Jordan Jacob Steinhard 22 10 0 13 Jun 2023
Efficient Algorithms for Planning with Participation Constraints Hanrui Zhang Yu Cheng Vincent Conitzer 82 5 0 16 May 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019