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Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations

Matrix factorization is a long-established method employed for analyzing and extracting valuable insight recommendations from complex networks containing user ratings. The execution time and computational resources demanded by these algorithms pose limitations when confronted with large datasets. Co...

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Detalles Bibliográficos
Autores principales:	Tokala, Srilatha, Enduri, Murali Krishna, Lakshmi, T. Jaya, Sharma, Hemlata
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528144/ https://www.ncbi.nlm.nih.gov/pubmed/37761659 http://dx.doi.org/10.3390/e25091360

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