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 44 0 0 19 Apr 2025
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics Zhiyu He S. Bolognani Florian Dorfler Michael Muehlebach 69 0 0 10 Mar 2025
Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems Krishna Acharya Varun Vangala Jingyan Wang Juba Ziani 96 3 0 21 Feb 2025
Lookahead Counterfactual Fairness Zhiqun Zuo Tian Xie Xuwei Tan Xueru Zhang Mohammad Mahdi Khalili FaML 80 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 35 0 0 23 Oct 2024
Learning Linear Dynamics from Bilinear Observations Yahya Sattar Yassir Jedra Sarah Dean 26 1 0 24 Sep 2024
Online Stackelberg Optimization via Nonlinear Control William Brown Christos Papadimitriou Tim Roughgarden OffRL 35 1 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 43 4 0 14 Jun 2024
Algorithmic Decision-Making under Agents with Persistent Improvement Tian Xie Xuwei Tan Xueru Zhang 50 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 37 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 43 14 0 23 Feb 2024
Feedback Loops With Language Models Drive In-Context Reward Hacking Alexander Pan Erik Jones Meena Jagadeesan Jacob Steinhardt KELM 53 26 0 09 Feb 2024
Human Expertise in Algorithmic Prediction Rohan Alur Manish Raghavan Devavrat Shah 17 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 27 15 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 30 4 0 17 Oct 2023
Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition Meena Jagadeesan Michael I. Jordan Jacob Steinhardt Nika Haghtalab 27 11 0 26 Jun 2023
Incentivizing High-Quality Content in Online Recommender Systems Xinyan Hu Meena Jagadeesan Michael I. Jordan Jacob Steinhard 34 10 0 13 Jun 2023
Online Recommendations for Agents with Discounted Adaptive Preferences Arpit Agarwal William Brown 21 5 0 12 Feb 2023
Causal Inference out of Control: Estimating the Steerability of Consumption Gary Cheng Moritz Hardt Celestine Mendler-Dünner CML 37 1 0 10 Feb 2023
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement Eden Saig Nir Rosenfeld 33 3 0 24 Nov 2022
User Tampering in Reinforcement Learning Recommender Systems Charles Evans Atoosa Kasirzadeh OffRL AAML 92 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 48 49 0 12 Jan 2021
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 169 313 0 30 Oct 2017