Cross-domain recommender system using Generalized Canonical Correlation Analysis

no code implementations • 15 Sep 2019 • Seyed Mohammad Hashemi, Mohammad Rahmati

In this representation we proposed an iterative method which applied MAX-VAR generalized canonical correlation analysis (GCCA) on users latent factors learned from matrix factorization on each domain.

Collaborative Filtering Recommendation Systems