1. Learn
    2. /
  2. Courses
    3. /
  3. Building Recommendation Engines in Python

Exercise

User-based to item-based

By now you have a dataset with no empty values that is primed for use.

In the preceding video, you learned about both user-based recommendations and item-based recommendations. User-based recommendations compare amongst users, and item-based recommendations compare different items.

In other words, you could use user-based data to find similar users based on how they rated different movies, while you could use item-based data to find similar movies based on how they have been rated by the users.

In this exercise, you will switch between the two and compare their values.

user_ratings_subset, a subset of the user-based DataFrame you have been working with, has been loaded for you.

Instructions 1/3

undefined XP
    1
    2
    3

Question

Based on the data in user_ratings_subset, which user is most similar to User_A?

Possible answers