Question: 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

Q7 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.

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