Why don't deep learning models perform well on a low amount of data? Low variance O High complexity Sensitive to noise and outliers High bias Which question does the cold start problem address in recommendation systems? (select all that apply) How to determine features for a new type of items How to determine users preferences How to categorize items at the beginning of the system life V To which users should a new movie be recommended. V How to determine which items to be recommended to a new userWhich is a type of cold start problem in recommendation systems? (select all that apply) 8 Item-based Feature-based Category-based Userbased IIIKCIEI Record-based In a recommendation system which uses Restricted Boltzmann Machine, do we have ground truth for the hidden layer? 6) No no access to explicit user preferences 0 Yes explicit user preferences 0 Yes usage history 0 No no access usage history