Weighted-SVD: Matrix Factorization with Weights on the Latent Factors

2 Oct 2017 Hung-Hsuan Chen

The Matrix Factorization models, sometimes called the latent factor models, are a family of methods in the recommender system research area to (1) generate the latent factors for the users and the items and (2) predict users' ratings on items based on their latent factors. However, current Matrix Factorization models presume that all the latent factors are equally weighted, which may not always be a reasonable assumption in practice... (read more)

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