Preference Dynamics Under Personalized Recommendations

25 May 2022

Papers citing "Preference Dynamics Under Personalized Recommendations"

23 / 23 papers shown

Title
Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale Bowen Jiang Zhuoqun Hao Y. Cho B. Li Yuan Yuan Sihao Chen Lyle Ungar Camillo J. Taylor Dan Roth 28 0 0 19 Apr 2025
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics Zhiyu He S. Bolognani Florian Dorfler Michael Muehlebach 56 0 0 10 Mar 2025
Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems Krishna Acharya Varun Vangala Jingyan Wang Juba Ziani 74 3 0 21 Feb 2025
Lookahead Counterfactual Fairness Zhiqun Zuo Tian Xie Xuwei Tan Xueru Zhang Mohammad Mahdi Khalili FaML 66 0 0 02 Dec 2024
ProFL: Performative Robust Optimal Federated Learning Xue Zheng Tian Xie Xuwei Tan Aylin Yener Xueru Zhang Ali Payani Myungjin Lee FedML 25 0 0 23 Oct 2024
Learning Linear Dynamics from Bilinear Observations Yahya Sattar Yassir Jedra Sarah Dean 16 1 0 24 Sep 2024
Online Stackelberg Optimization via Nonlinear Control William Brown Christos Papadimitriou Tim Roughgarden OffRL 27 0 0 27 Jun 2024
Harm Mitigation in Recommender Systems under User Preference Dynamics Jerry Chee Shankar Kalyanaraman S. Ernala Udi Weinsberg Sarah Dean Stratis Ioannidis 17 4 0 14 Jun 2024
Algorithmic Decision-Making under Agents with Persistent Improvement Tian Xie Xuwei Tan Xueru Zhang 34 4 0 03 May 2024
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models Sarah Dean Evan Dong Meena Jagadeesan Liu Leqi 28 6 0 18 Apr 2024
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? Fan Yao Chuanhao Li Denis Nekipelov Hongning Wang Haifeng Xu 23 10 0 23 Feb 2024
Feedback Loops With Language Models Drive In-Context Reward Hacking Alexander Pan Erik Jones Meena Jagadeesan Jacob Steinhardt KELM 42 25 0 09 Feb 2024
Human Expertise in Algorithmic Prediction Rohan Alur Manish Raghavan Devavrat Shah 6 1 0 01 Feb 2024
Mapping the Design Space of Teachable Social Media Feed Experiences K. J. Kevin Feng Xander Koo Lawrence Tan Amy Bruckman David W. McDonald Amy X. Zhang 8 4 0 25 Jan 2024
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression Adam Block Dylan J. Foster Akshay Krishnamurthy Max Simchowitz Cyril Zhang 10 1 0 17 Oct 2023
Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition Meena Jagadeesan Michael I. Jordan Jacob Steinhardt Nika Haghtalab 17 5 0 26 Jun 2023
Incentivizing High-Quality Content in Online Recommender Systems Xinyan Hu Meena Jagadeesan Michael I. Jordan Jacob Steinhard 17 10 0 13 Jun 2023
Online Recommendations for Agents with Discounted Adaptive Preferences Arpit Agarwal William Brown 9 2 0 12 Feb 2023
Causal Inference out of Control: Estimating the Steerability of Consumption Gary Cheng Moritz Hardt Celestine Mendler-Dünner CML 19 1 0 10 Feb 2023
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement Eden Saig Nir Rosenfeld 20 1 0 24 Nov 2022
User Tampering in Reinforcement Learning Recommender Systems Charles Evans Atoosa Kasirzadeh OffRL AAML 62 39 0 09 Sep 2021
Measuring Recommender System Effects with Simulated Users Sirui Yao Yoni Halpern Nithum Thain Xuezhi Wang Kang Lee Flavien Prost Ed H. Chi Jilin Chen Alex Beutel 35 40 0 12 Jan 2021
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 161 281 0 30 Oct 2017