Modeling Dynamic User Interests: A Neural Matrix Factorization Approach
Name
2102.06602.pdf
Description
Accepted version
Size
3.4 MB
Format
Adobe PDF
Checksum (MD5)
d323921ab2fee8969780e029ba8bc694
Author(s)
Dhillon, Paramveer S
Aral, Sinan
Date Issued
2021
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
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.
MIT Department
Sloan School of Management
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1287/MKSC.2021.1293
