Recommendation System, Recommender Systems, Machine Learning, Data Science, Big Data.
factorization is a latent factor model assuming that for each user u and item i there are latent vector representations pᵤ, qᵢ ∈ Rᶠ s.t. rᵤᵢ can be uniquely expressed— i.e. “factorized” — in terms of pᵤ and qᵢ. The Python library Surprise provides excellent implements of these methods. Matrix