Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Aridor, Guy"'
An increasingly important aspect of designing recommender systems involves considering how recommendations will influence consumer choices. This paper addresses this issue by introducing a method for collecting user beliefs about un-experienced items
Externí odkaz:
http://arxiv.org/abs/2405.11053
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, our experiment measures the causal effect of recommendations on cons
Externí odkaz:
http://arxiv.org/abs/2211.14219
Most online platforms strive to learn from interactions with users, and many engage in exploration: making potentially suboptimal choices for the sake of acquiring new information. We study the interplay between exploration and competition: how such
Externí odkaz:
http://arxiv.org/abs/2007.10144
Publikováno v:
In Journal of Economic Dynamics and Control October 2024
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), where, in environments where recommender systems are typically deplo
Externí odkaz:
http://arxiv.org/abs/1904.10527
We empirically study the interplay between exploration and competition. Systems that learn from interactions with users often engage in exploration: making potentially suboptimal decisions in order to acquire new information for future decisions. How
Externí odkaz:
http://arxiv.org/abs/1902.05590
Autor:
Aridor, Guy1 (AUTHOR), Jiménez-Durán, Rafael2 (AUTHOR), Levy, Ro'ee3 (AUTHOR), Song, Lena4 (AUTHOR)
Publikováno v:
Journal of Economic Literature. Dec2024, Vol. 62 Issue 4, p1422-1474. 53p.
Autor:
Aridor, Guy, Gonçalves, Duarte
Publikováno v:
In International Journal of Industrial Organization July 2022 83
Autor:
Aridor, Guy1 (AUTHOR) guy.aridor@kellogg.northwestern.edu, Che, Yeon‐Koo2 (AUTHOR) yeonkooche@gmail.com, Salz, Tobias3 (AUTHOR) tsalz@mit.edu
Publikováno v:
RAND Journal of Economics (Wiley-Blackwell). Dec2023, Vol. 54 Issue 4, p695-730. 36p.
We conduct a field experiment on a movie-recommendation platform to identify if and how recommendations affect consumption. We use within-consumer randomization at the good level and elicit beliefs about unconsumed goods to disentangle exposure from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b99b30f5d7bb4e33a97f977a095bd497
http://arxiv.org/abs/2211.14219
http://arxiv.org/abs/2211.14219