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: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute for Operations Research and the Management Sciences (INFORMS)
2022
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| Online Access: | https://hdl.handle.net/1721.1/144068 |
| _version_ | 1826201513133867008 |
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| author | Dhillon, Paramveer S Aral, Sinan |
| author2 | Sloan School of Management |
| author_facet | Sloan School of Management Dhillon, Paramveer S Aral, Sinan |
| author_sort | Dhillon, Paramveer S |
| collection | MIT |
| description | <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> |
| first_indexed | 2024-09-23T11:52:38Z |
| format | Article |
| id | mit-1721.1/144068 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T11:52:38Z |
| publishDate | 2022 |
| publisher | Institute for Operations Research and the Management Sciences (INFORMS) |
| record_format | dspace |
| spelling | mit-1721.1/1440682023-04-11T21:16:47Z Modeling Dynamic User Interests: A Neural Matrix Factorization Approach Dhillon, Paramveer S Aral, Sinan Sloan School of Management <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> 2022-07-27T14:57:51Z 2022-07-27T14:57:51Z 2021 2022-07-27T12:51:23Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/144068 Dhillon, Paramveer S and Aral, Sinan. 2021. "Modeling Dynamic User Interests: A Neural Matrix Factorization Approach." Marketing Science, 40 (6). en 10.1287/MKSC.2021.1293 Marketing Science Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute for Operations Research and the Management Sciences (INFORMS) arXiv |
| spellingShingle | Dhillon, Paramveer S Aral, Sinan Modeling Dynamic User Interests: A Neural Matrix Factorization Approach |
| title | Modeling Dynamic User Interests: A Neural Matrix Factorization Approach |
| title_full | Modeling Dynamic User Interests: A Neural Matrix Factorization Approach |
| title_fullStr | Modeling Dynamic User Interests: A Neural Matrix Factorization Approach |
| title_full_unstemmed | Modeling Dynamic User Interests: A Neural Matrix Factorization Approach |
| title_short | Modeling Dynamic User Interests: A Neural Matrix Factorization Approach |
| title_sort | modeling dynamic user interests a neural matrix factorization approach |
| url | https://hdl.handle.net/1721.1/144068 |
| work_keys_str_mv | AT dhillonparamveers modelingdynamicuserinterestsaneuralmatrixfactorizationapproach AT aralsinan modelingdynamicuserinterestsaneuralmatrixfactorizationapproach |