Matrix factorization Perhaps the most common type of recommender system algorithm is matrix factorization. The idea behind matrix factorization is to break a user-item feature matrix into a ...

The same “matrix factorization” algorithms deployed by the streaming media provider to narrow TV and movie recommendations for users can provide benefits for genomic cancer data, writes Elana ...