Recommender Systems, Artificial Intelligence, Machine Learning, Computer Science, Publishing.
the User Factor and Item Factor matrices, respectively. Adding Extra Features to Matrix Factorization Assuming that extra user features have unique values per user and extra item features have a unique value per item, one can represent each of these user or item-specific features as a