Movie Recommendations (Part 2)

Posted by Christopher Mertin on February 19, 2017 in Project • 13 min read

An extension of the previous movie recommendation system, however with the use of Latent Factors with Keras to create a Neural Network to calculate the similarities instead of using MapReduce. This is a much more accurate implementation as it allows the addition of a bias term.


  Read More

Movie Recommendations (Part 1)

Posted by Christopher Mertin on January 15, 2017 in Project • 8 min read

With the use of the MapReduce ecosystem, and user movie ratings from the movie lens data set, I build a system using the cosine distance between user movie ratings to find movies that are similar to each other.


  Read More