Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework

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Original language	Undefined/Unknown
Pages (from-to)	76-101
Number of pages	26
Journal	Information Systems Research
Volume	31
Issue number	1
DOIs	https://doi.org/10.1287/ISRE.2019.0876
Publication status	Published - 2020

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title = "Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework",

author = "Jingjing Zhang and G Adomavicius and A Gupta and Wolf Ketter",

year = "2020",

doi = "10.1287/ISRE.2019.0876",

language = "Undefined/Unknown",

volume = "31",

pages = "76--101",

journal = "Information Systems Research",

issn = "1047-7047",

publisher = "INFORMS Inst.for Operations Res.and the Management Sciences",

number = "1",

}

TY - JOUR

T1 - Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework

AU - Zhang, Jingjing

AU - Adomavicius, G

AU - Gupta, A

AU - Ketter, Wolf

PY - 2020

Y1 - 2020

U2 - 10.1287/ISRE.2019.0876

DO - 10.1287/ISRE.2019.0876

M3 - Article

SN - 1047-7047

VL - 31

SP - 76

EP - 101

JO - Information Systems Research

JF - Information Systems Research

IS - 1

ER -