Recommender Systems, Artificial Intelligence, Machine Learning, Computer Science, Publishing.
them in the form of vectors, 3 vectors each with m elements for m customers which will act as additional 3 columns for the User Factor matrix. In the case of item features, 3 vectors with n elements will be added as additional rows to the Item Factor Matrix. When generalizing this idea to random k’