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S.Saman .E edited this page Jul 15, 2026
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Welcome to the documentation for RC-MF.
RC-MF is a two-stage recommender framework that improves biased matrix factorization through regularized residual calibration.
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Basic RC-MF Command Learn how to run RC-MF using the default configuration and command-line options.
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Cornac Baselines Instructions for running and evaluating the recommender-system baselines
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RC-MF Detailed documentation about the RC-MF model, configuration, and experimental settings.
RC-MF · Residual-Calibrated Matrix Factorization
Authors: Seyedsaman (Saman) Emami· Alejandro Bellogin· Daniel Hernández-Lobato.
Grupo de Aprendizaje Automático · Universidad Autónoma de Madrid