Accelerated Singular Value Decomposition (ASVD) using momentum based Gradient Descent Optimization

The limitations of neighborhood-based Collaborative Filtering (CF) techniques over scalable and sparse data present obstacle for efficient recommendation systems. These techniques show poor accuracy and dismal speed in generating recommendations. Model-based matrix factorization is an alternative ap...

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Detalles Bibliográficos

Autores principales:	Sandeep Kumar Raghuwanshi, Rajesh Kumar Pateriya
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Springer 2021-05-01
Colección:	Journal of King Saud University: Computer and Information Sciences
Materias:	Gradient Descent Information filtering Matrix factorization Singular value decomposition Stochastic gradient descent
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S1319157818300636
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