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Neural Explicit Factor Model Based on Item Features for Recommendation Systems

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In recent years. recommendation systems based on collaborative filtering (CF) have achieved a high performance. Most of the existing recommendation systems use similarity measures to determine the suitability of items for users based on latent factor models (LFM). However. https://countryscenesaddleryandpetsuppliers.shop/product-category/stirrup-straps/
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