Kernelized Deep Learning for Matrix Factorization Recommendation System Using Explicit and Implicit Information.
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DOI: 10.1109/tnnls.2022.3182942
Abstract: In the current matrix factorization recommendation approaches, the item and the user latent factor vectors are with the same dimension. Thus, the linear dot product is used as the interactive function between the user and… read more here.
Keywords: recommendation; users items; factorization recommendation; matrix factorization ... See more keywords