Modeling Dynamic User Interests: A Neural Matrix Factorization Approach
<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>
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute for Operations Research and the Management Sciences (INFORMS)
2022
|
| Online Access: | https://hdl.handle.net/1721.1/144068 |