Development of a hyperparameter optimization method for recommendatory models based on matrix factorization

Many advanced recommendatory models are implemented using matrix factorization algorithms. Experiments show that the quality of their performance depends significantly on the selected hyperparameters. Analysis of the effectiveness of using various methods for solving this problem of optimizing hyper...

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Autores principales: Alexander Nechaev, Vasily Meltsov, Dmitry Strabykin
Formato: article
Lenguaje:EN
RU
UK
Publicado: PC Technology Center 2021
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Acceso en línea:https://doaj.org/article/deec9da69c3948b888fcd52ab029a4b2
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