RecSim: A Configurable Simulation Platform for Recommender Systems

11 September 2019

Papers citing "RecSim: A Configurable Simulation Platform for Recommender Systems"

24 / 24 papers shown

Title
Harden and Catch for Just-in-Time Assured LLM-Based Software Testing: Open Research Challenges Mark Harman Peter O'Hearn Shubho Sengupta 19 0 0 23 Apr 2025
PersonalLLM: Tailoring LLMs to Individual Preferences Thomas P. Zollo Andrew Siah Naimeng Ye Ang Li Hongseok Namkoong 44 10 0 30 Sep 2024
FedSlate:A Federated Deep Reinforcement Learning Recommender System Yongxin Deng Xihe Qiu Xiaoyu Tan Yaochu Jin FedML 93 0 0 23 Sep 2024
On Generative Agents in Recommendation An Zhang Yuxin Chen Leheng Sheng Xiang Wang Tat-Seng Chua 38 43 0 16 Oct 2023
AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation Ziru Liu Kecheng Chen Fengyi Song Bo Chen Xiangyu Zhao Huifeng Guo Ruiming Tang 18 3 0 14 Aug 2023
On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top- $n$ Recommendation Olivier Jeunen Ivan Potapov Aleksei Ustimenko ELM OffRL 27 11 0 27 Jul 2023
Simulating News Recommendation Ecosystem for Fun and Profit Guangping Zhang Dongsheng Li Hansu Gu T. Lu Li Shang Ning Gu 16 0 0 23 May 2023
Leveraging Large Language Models in Conversational Recommender Systems Luke Friedman Sameer Ahuja David Allen Zhenning Tan Hakim Sidahmed ... Ajay Patel Harsh Lara Brian Chu Zexiang Chen Manoj Kumar Tiwari 32 102 0 13 May 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 11 2 0 16 Apr 2023
Synthetic Data Generator for Adaptive Interventions in Global Health Aditya Rastogi J. F. Garamendi Ana Fernández del Río Anna Guitart Moiz Hassan Khan Dexian Tang África Periánez 28 0 0 03 Mar 2023
Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks Anton Dereventsov Andrew Starnes Clayton Webster 18 4 0 21 Nov 2022
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates Tobias Schnabel Mengting Wan Longqi Yang HAI 27 8 0 11 Nov 2022
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets Anton Dereventsov A. Bibin 24 1 0 12 Oct 2022
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems Zhengbang Zhu Rongjun Qin Junjie Huang Xinyi Dai Yang Yu Yong Yu Weinan Zhang 44 2 0 11 Oct 2022
Balancing Consumer and Business Value of Recommender Systems: A Simulation-based Analysis Nada Ghanem Stephan Leitner Dietmar Jannach 6 30 0 10 Mar 2022
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems Chongming Gao Shijun Li Wenqiang Lei Jiawei Chen Biao Li Peng Jiang Xiangnan He Jiaxin Mao Tat-Seng Chua 26 131 0 22 Feb 2022
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning Jiachen Yang Ethan Wang Rakshit S. Trivedi T. Zhao H. Zha 22 21 0 20 Dec 2021
Incentives in Two-sided Matching Markets with Prediction-enhanced Preference-formation Ş. Ionescu Yuhao Du K. Joseph Anikó Hannák 6 2 0 16 Sep 2021
Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation G. Adomavicius Dietmar Jannach Stephan Leitner Jingjing Zhang 13 8 0 25 Aug 2021
T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems Eli Lucherini Matthew Sun Amy A. Winecoff Arvind Narayanan 29 23 0 19 Jul 2021
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems Martin Mladenov Chih-Wei Hsu Vihan Jain Eugene Ie Christopher Colby Nicolas Mayoraz H. Pham Dustin Tran Ivan Vendrov Craig Boutilier BDL 15 31 0 14 Mar 2021
WES: Agent-based User Interaction Simulation on Real Infrastructure John Ahlgren Maria Eugenia Berezin Kinga Bojarczuk Elena Dulskyte Inna Dvortsova ... Mark Harman Ralf Lämmel E. Meijer Silvia Sapora Justin Spahr-Summers 15 35 0 11 Apr 2020
Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning Ali Mousavi Lihong Li Qiang Liu Denny Zhou OffRL 11 32 0 24 Mar 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 28 120 0 24 Mar 2020