cold-start problem; collaborative filtering system; data sparsity; hybrid recommender system; movies; recommender system; scalability; Collaborative filtering; Matrix algebra; Matrix factorization; Motion pictures; Recommender systems; Best choice; Cold start problems; Cold-start; Collaborative filtering systems; Hybrid recommender systems; Matrix factorizations; Movie; Movie recommendations; Systems performance