Measuring Recommender System Effects with Simulated Users

12 January 2021

Papers citing "Measuring Recommender System Effects with Simulated Users"

8 / 8 papers shown

Title
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
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 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 39 2 0 11 Oct 2022
From Ranked Lists to Carousels: A Carousel Click Model Behnam Rahdari B. Kveton Peter Brusilovsky CML LRM 21 4 0 27 Sep 2022
Preference Dynamics Under Personalized Recommendations Sarah Dean Jamie Morgenstern 72 34 0 25 May 2022
Recency Dropout for Recurrent Recommender Systems Bo-Yu Chang Can Xu Matt Le Jingchen Feng Ya Le Sriraj Badam Ed H. Chi Minmin Chen 17 3 0 26 Jan 2022
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 13 31 0 14 Mar 2021
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 169 312 0 30 Oct 2017