LoslegenKostenlos loslegen

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.

Diese Übung ist Teil des Kurses

Building Recommendation Engines in Python

Kurs anzeigen

Interaktive Übung

In dieser interaktiven Übung kannst du die Theorie in die Praxis umsetzen.

Übung starten