Start up company looking to get a simple music event recommender engine put in place for our django backend server. We are a live music streaming provider of events and the goal of this recommender system similar to Spotify's "suggestions", will be to recommended events based on user profiles and there followers profiles. Compare and contrast many profiles and determine what the user could like and dislike based upon similar profiles, history of events he/she has gone to. Primary focus will be CBF (Content Based Filtering) and CF (Collaborative Filtering). I am open to discussion regarding what particular algorithms, classification and modelling techniques to be chosen for this use case. To assist the freelancer we will have sample NOSQL entries available for the User and Event from which they could use to make a model.