Marketing Science 2021

Modeling Dynamic User Interests: A Neural Matrix Factorization Approach

Paramveer S. Dhillon¹; Sinan Aral²

¹ University of Michigan–Ann Arbor · ² Massachusetts Institute of Technology

Abstract

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.

DOI

10.1287/mksc.2021.1293

Sources

openalex

Cite

APA 7 MLA 9 Chicago (author–date) Harvard Elsevier Harvard (JFE, JBF…) The Accounting Review Academy of Management American Marketing Association INFORMS (Management Science) Copy citation Copied ✓