Movie Recommendation Generator App. Efficiently generates movie recommendations for a given user.
Can successfully generate recommendations in under a second given a database with ~40K Movies and ~100K Users.
Project 4 for UCLA Winter CS32 class.
Demonstrates understanding of C++ Standard Library Data Structures (Hashtables, Hashmaps .etc), Trees, and Algorithmic Time Complexity
