/hybrid-label-based-Bayesian-personalized-ranking-recommendation-algorithm

This project focuses on the implicit feedback-based recommendation ranking problem, aiming to divide the full dataset into multiple local datasets by item label weights and user label weights, and to use a hybrid Bayesian personalized ranking recommendation algorithm in the local datasets

Primary LanguageJupyter NotebookMIT LicenseMIT

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