Recommender Systems

Abstract

Implement non-customized recommender systems with classical multi-armed bandit approach. Implement customized recommender systems using user- and item- based collaborative filtering. Make recommendations with deep learning techniques such as autoencoder, restricted Boltzmann machines, recurrent neutral networks and so on with big data tools such as Apache Spark, MapReduce.