Apache: Big Data North America 2017

Recommender Systems have changed the way companies and people interact with each other. Does your organisation need a 360° view of their customer? Today it is possible to recommend the right products to customers or potential customers. For example, a film based on their previous interests or a new accessory that fits their model of smartphone.

The technology behind recommender systems has evolved significantly over the past 20 years and with the explosion of Big Data technologies, there are tools that can create very powerful recommender systems. This introduction will explain how Recommender Systems work, describing their main functionalities, and providing some basic algorithms frequently used in such systems. We will look at how to create a Recommender System using technologies like Apache Spark and ElasticSearch.