TY - GEN
T1 - The Economics of Recommender Systems
T2 - 24th ACM Conference on Economics and Computation, EC 2023
AU - Aridor, Guy
AU - Goncalves, Duarte
AU - Kluver, Daniel
AU - Kong, Ruoyan
AU - Konstan, Joseph
N1 - Publisher Copyright:
© 2023 Owner/Author(s).
PY - 2023/7/9
Y1 - 2023/7/9
N2 - We conduct a 6 month field experiment on a movie-recommendation platform to identify if and how recommendation systems affect consumption. We use within-consumer randomization at the good level and elicit beliefs about unconsumed goods to disentangle exposure from informational effects. We have three experimental groups: (a) control, (b) exposed, and (c) recommended + exposed goods where only goods in (c) are recommended and we elicit beliefs about goods in (b) and (c). Comparing across these treatment arms we find recommendations increase consumption beyond its role in exposing goods to consumers. We provide support for an informational mechanism: recommendations affect consumers' beliefs, which in turn explain consumption. Recommendations reduce uncertainty about goods consumers are most uncertain about and induce information acquisition. Finally, we find evidence for spatial correlation in beliefs.
AB - We conduct a 6 month field experiment on a movie-recommendation platform to identify if and how recommendation systems affect consumption. We use within-consumer randomization at the good level and elicit beliefs about unconsumed goods to disentangle exposure from informational effects. We have three experimental groups: (a) control, (b) exposed, and (c) recommended + exposed goods where only goods in (c) are recommended and we elicit beliefs about goods in (b) and (c). Comparing across these treatment arms we find recommendations increase consumption beyond its role in exposing goods to consumers. We provide support for an informational mechanism: recommendations affect consumers' beliefs, which in turn explain consumption. Recommendations reduce uncertainty about goods consumers are most uncertain about and induce information acquisition. Finally, we find evidence for spatial correlation in beliefs.
KW - field experiment
KW - information acquisition
KW - recommender systems
UR - http://www.scopus.com/inward/record.url?scp=85168156504&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85168156504&partnerID=8YFLogxK
U2 - 10.1145/3580507.3597677
DO - 10.1145/3580507.3597677
M3 - Conference contribution
AN - SCOPUS:85168156504
T3 - EC 2023 - Proceedings of the 24th ACM Conference on Economics and Computation
SP - 117
BT - EC 2023 - Proceedings of the 24th ACM Conference on Economics and Computation
PB - Association for Computing Machinery, Inc
Y2 - 9 July 2023 through 12 July 2023
ER -