Data for RC-MF Recommender Experiments

Published: 3 July 2026| Version 1 | DOI: 10.17632/d7rfjr62zs.1
Contributors:
Seyedsaman Emami,
,
,
,

Description

This dataset contains the original recommender-system data used in the study “Learning Residual Corrections for Matrix Factorization.” The data support the experimental evaluation of Residual-Calibrated Matrix Factorization (RC-MF) and the baseline recommender models considered in the paper.

Files

Institutions

Categories

Machine Learning, Recommendation System

Related Links

Software
https://github.com/GAA-UAM/RC_MF
is related to this dataset

Licence