Elastic net-regularized latent factor model for recommender systems

ICNSC, pp. 1-7, 2018.

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Abstract:

Latent factor (LF) models are highly efficient in recommender systems. The problem of LF analysis is defined on high-dimensional and sparse (HiDS) matrices corresponding to relationships among numerous entities in industrial applications. It is ill-posed without a unique and optimal solution. Hence, regularization schemes are vital in imp...More

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