Modeling Dynamic User Interests: A Neural Matrix Factorization Approach

Author(s)
Dhillon, Paramveer S; Aral, Sinan
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Abstract
<jats:p> We propose an interpretable model that combines the simplicity of matrix factorization with the flexibility of neural networks to model evolving user interests by efficiently extracting nonlinear patterns from massive text data collections. </jats:p>
Date issued
2021
URI
https://hdl.handle.net/1721.1/144068
Department
Sloan School of Management
Journal
Marketing Science
Publisher
Institute for Operations Research and the Management Sciences (INFORMS)
Citation
Dhillon, Paramveer S and Aral, Sinan. 2021. "Modeling Dynamic User Interests: A Neural Matrix Factorization Approach." Marketing Science, 40 (6).
Version: Author's final manuscript
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