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...

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Detalles Bibliográficos
Autores principales: Zhang, Weiwei, Liu, Fangai, Xu, Daomeng, Jiang, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
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

Internet

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

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