3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.IR2024
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems
Guy Aridor, Duarte Goncalves, Ruoyan Kong +2
An increasingly important aspect of designing recommender systems involves considering how recommendations will influence consumer choices. This paper addresses this issue by intro…
econ.GN2022
The Informational Role of Online Recommendations: Evidence from a Field Experiment
Guy Aridor, Duarte Goncalves, Daniel Kluver +2
We conduct a field experiment on a movie-recommendation platform to investigate whether and how online recommendations influence consumption choices. Using a within-subjects design…
cs.CY2019★ 3 cited
Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems
Guy Aridor, Duarte Goncalves, Shan Sikdar
We study a model of user decision-making in the context of recommender systems via numerical simulation. Our model provides an explanation for the findings of Nguyen, et. al (2014)…