Q$7$ ML Practitioner Scenario

$4$ Points

Grading comment:

Karman is using matrix factorization to develop a recommender system. He is concerned about the cold$-$start problem; what should he do when a new user, with no product ratings, joins the service? To overcome the cold$-$start problem, Karman decides to add regularization when doing coordinate descent.

Is the practice "Correct" or "Incorrect". If "Incorrect," please explain why.

NOTE: Please explicitly right "Correct" or "Incorrect." If "Correct," an explanation is not necessary.