Many recommendation engines focus on the items and compare their similar attributes. Many also use collaborative filtering to match users with other users with similar tastes. But in this notebook we will match users to the very critics who provide the input data (review scores).
We will use Metacritic’s Review Dataset from 2011–2019 via Kaggle and build our recommendation…
