activity
20242026
most citedA survey on the impacts of recommender systems on users, items, and human-AI ecosystems

5 citations · 5 across the 4 of their papers we have counts for

collaborators
Showing 2025Show all

1 paper · 1 filter

cs.IR2025

A Simulation Framework for Studying Systemic Effects of Feedback Loops in Recommender Systems

Gabriele Barlacchi, Margherita Lalli, Emanuele Ferragina +2

Recommender systems continuously interact with users, creating feedback loops that shape both individual behavior and collective market dynamics. This paper introduces a simulation…