Movie Recommendation System Using Collaborative Filtering
Ching-Seh Mike Wu, Deepti Garg, Unnathi Bhandary · 2018
As the business needs are accelerating, there is an increased dependence on extracting meaningful information from humongous amount of raw data to drive business solutions. The same is true for digital recommendation systems which are becoming a norm for consumer industries such as books, music, clothing, movies, news articles, places, utilities, etc. These systems collect information from the users to improve the future suggestions. This paper aims to describe the implementation of a movie recommender system via two collaborative filtering algorithms using Apache Mahout. Furthermore, this paper will also focus on analyzing the data to gain insights into the movie dataset using Matplotlib libraries in Python.