Music Recommendations; Approximating user distributions to address the cold start problem
In today's data driven society the world is at a point of information overload. As people rely on Google for information and other platforms such as Netflix and Spotify for entertainment, the need for relevant filtering of content has never been higher. As a result, recommendation systems have seen a great surge in demand. One can divide the space of recommendation algorithms into primarily tw