Simulating News Recommendation Ecosystem for Fun and Profit

23 May 2023

Papers citing "Simulating News Recommendation Ecosystem for Fun and Profit"

7 / 7 papers shown

Title
T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems Eli Lucherini Matthew Sun Amy A. Winecoff Arvind Narayanan 42 23 0 19 Jul 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 66 49 0 12 Jan 2021
Do Offline Metrics Predict Online Performance in Recommender Systems? K. Krauth Sarah Dean Alex Zhao Wenshuo Guo Mihaela Curmei Benjamin Recht Michael I. Jordan OffRL 45 41 0 07 Nov 2020
RecSim: A Configurable Simulation Platform for Recommender Systems Eugene Ie Chih-Wei Hsu Martin Mladenov Vihan Jain Sanmit Narvekar Jing Wang Rui Wu Craig Boutilier 93 181 0 11 Sep 2019
Degenerate Feedback Loops in Recommender Systems Ray Jiang Silvia Chiappa Tor Lattimore András Gyorgy Pushmeet Kohli 29 195 0 27 Feb 2019
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 193 315 0 30 Oct 2017
BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages Benjamin Heinzerling Michael Strube 52 230 0 05 Oct 2017