Project 1: Movie Recommender

For this project, you will implement a simple movie recommender that makes recommendations to a given user based on what "similar" users liked in the past. Such approach is called collaborative filtering. Different algorithms can be used to compute similarity between a pair of users given their movie ratings. We will use Pearson correlation. You will store movie ratings data in a custom data structure built using linked lists. The description of the project is on the course website on Canvas (under Assignments/Project 1).