QUESTION Consider a dataset containing information about movies: genre, director and release decade. We also have information about which users have seen each movie. The rating for a user on a movie is either 0 or 1. D Movie Release decade Genre Director Total number of ratings A 1970s Humor 40 B 2010s Humor D 500 C 2000s Action D2 300 D 1990s Action D2 25 E 2010s Humor D3 1 QUESTION - Consider user U1=[2000s, D2, Humor). We have some existing recommender system R that recommended the movie B to user U1. (a) Given the above dataset, which one(s) do you think R could be? User-user collaborative filtering. - Item-item collaborative filtering - Content-based recommender system. (b) If some user U2 wants to watch a movie, under what conditions can our recommender system R recommend U2 a movie? - QUESTION (c) If R recommends a movie, how to do it? If R cannot recommend a movie, please explain why it cannot be recommended. (d) State any additional information R might want from U2 for predicting a movie for this user, if required