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Recommendation system in social networks with topical attention and probabilistic matrix factorization
Collaborative filtering (CF) is a common recommendation mechanism that relies on user-item ratings. However, the intrinsic sparsity of user-item rating data can be problematic in many domains and settings, limiting the ability to generate accurate predictions and effective recommendations. At presen...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822766/ https://www.ncbi.nlm.nih.gov/pubmed/31671119 http://dx.doi.org/10.1371/journal.pone.0223967 |