Graph-Convolved Factorization Machines for Personalized Recommendation
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DOI: 10.1109/tkde.2021.3100564
Abstract: Factorization machines (FMs) and their neural network variants (neural FMs) for modeling second-order feature interactions are effective in building modern recommendation systems. However, feature interactions are based upon pairs of features, whereas multi-features correlations commonly… read more here.
Keywords: recommendation; feature; graph convolved; graph ... See more keywords