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.
This exercise is part of the course
Building Recommendation Engines in Python
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
