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Neural Matrix Factorization Recommendation for User Preference Prediction Based on Explicit and Implicit Feedback
Explicit feedback and implicit feedback are two important types of heterogeneous data for constructing a recommendation system. The combination of the two can effectively improve the performance of the recommendation system. However, most of the current deep learning recommendation models fail to fu...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763527/ https://www.ncbi.nlm.nih.gov/pubmed/35047036 http://dx.doi.org/10.1155/2022/9593957 |