Filmr-A Movie Recommendation Engine

Abstract

Filmr is a movie recommendation engine designed to provide movie and film enthusiasts with a personalized set of 'what to watch next' suggestions based on their mood, sense and style of humor, in addition to basic filters like your favorite genre, actor, era, etc. Filmr is built using cutting technology and tool set. The front-end is developed using Swift, Cocoa Touch for iOS, while the server employs part of the MEAN stack - MongoDB (NoSQL), and Node.js - hosted on Amazon EC2. Our system database is populated using TMBD - a user-curated open-source movie database. Our recommendation engine is designed to best utilize it. Our iOS app finds its competitive edge in the form of a fast autocomplete feature to assist users in narrowing down their search for their next movie. The search request is processed by our servers, where the recommendation engine finds the intersection of the user's parameters. The recommendations are displayed prioritized on basis of the original film's popularity. On receiving the recommendations, the user may choose to learn more about each recommendation before they sit down with a popcorn bucket to watch their next favorite movie.