Data Science, Recommender Systems, Collaborative Filtering, Artificial Intelligence, Machine Learning.
we can compute the following similarity. From the above table you can see that user D is very different from user E as the Pearson Correlation between them is negative. He rated Me Before You higher than his rating average, while user E did the opposite. Now, we can start to fill in the blank for