1. [10 pts] Popularity based

   In services such as Netflix and Spotify, you often see recommendations with the heading Popular movies or Trending top 10.

   Write a function get_popular_movies that takes as parameters a dictionary of movie-to-average rating ( as created in Task 2.2), and an integer n (default should be 10). The function should return a dictionary ( movie:average rating, same structure as input dictionary) of top n movies based on the average ratings. (If there are fewer movies than n, it should all return all movies in order of top average ratings.)

2. [8 pts] Threshold Rating

   Write a function filter_movies that takes as parameters a dictionary of movie-to-average rating (same as for the popularity based function above), and a threshold rating with default value of 3. The function should filter movies based on the threshold rating, and return a dictionary with same structure as the input. For example, if the threshold rating is 3.5, the returned dictionary should have only those movies from the input whose average rating is equal to or greater than 3.5.

3. [12 pts] Popularity + Genre based

   In most recommendation systems, genre of the movie/song/book plays an important role. Often features like popularity, genre, artist are combined to present recommendations to a user.

   Write a function get_popular_in_genre that, given a genre, a genre-to-movies dictionary (as created in Task 2.1), a dictionary of movie:average rating (as created in Task 2.2), and an integer n (default 5), returns the top n most popular movies in that genre based on the average ratings. The return value should be a dictionary of movie-to-average rating of movies that make the cut. Genre categories will be from those in the movie:genre dictionary created in Task 1.2. Your code should handle the case when there are fewer than n movies in the data, as in Task 3.1 above.

4. [8 pts] Genre Rating

   One important analysis for the content platforms is to determine ratings by genre.

   Write a function get_genre_rating that takes the same parameters as get_popular_in_genre above, except for n, and returns the average rating of the movies in the given genre.

5. [12 pts] Genre Popluarity

   Write a function genre_popularity that takes as parameters a genre-to-movies dictionary (as created in Task 2.1), a movie-to-average rating dictionary (as created in Task 2.2), and n (default 5), and returns the top-n rated genres as a dictionary of genre:average rating. Hint: Use the above get_genre_rating function as a helper.