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Longitudinal impact of preference biases on recommender systems’ performance

Zhou, Meizi; Zhang, Jingjing; Adomavicius, Gediminas - In: Information systems research : ISR 35 (2024) 4, pp. 1634-1656

Persistent link: https://www.econbiz.de/10015193805

A machine learning approach to improving dynamic decision making

Meyer, Georg; Adomavicius, Gediminas; Johnson, Paul E.; … - In: Information systems research : ISR 25 (2014) 2, pp. 239-263

Persistent link: https://www.econbiz.de/10010393300

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

Zhang, Jingjng - 2019

We develop a general agent-based modeling and computational simulation approach to study the impact of various factors on the temporal dynamics of recommender systems' performance. The proposed agent-based simulation approach allows for comprehensive analysis of longitudinal recommender systems...

Persistent link: https://www.econbiz.de/10012869924

Consumption and performance : understanding longitudinal dynamics of recommender systems via an agent-based simulation framework

Zhang, Jingjing; Adomavicius, Gediminas; Gupta, Alok; … - In: Information systems research : ISR 31 (2020) 1, pp. 76-101

Persistent link: https://www.econbiz.de/10012242424

Efficient computational strategies for dynamic inventory liquidation

Yang, Mochen; Adomavicius, Gediminas; Gupta, Alok - In: Information systems research : ISR 30 (2019) 2, pp. 595-615

Persistent link: https://www.econbiz.de/10012038246