Building a Recommender with Apache Spark & Elasticsearch

Please see the IBM Developer Code Pattern (https://developer.ibm.com/code/patterns/build-a-recommender-with-apache-spark-and-elasticsearch/) and Github repository (https://github.com/IBM/elasticsearch-spark-recommender) for more details.

Recommendation engines are one of the most well known, widely used and highest value use cases for applying machine learning. Despite this, while there are many resources available for the basics of training a recommendation model, there are relatively few that explain how to actually deploy these models to create a large-scale recommender system.

This video demonstrates the key elements of creating such a system, using Apache Spark and Elasticsearch.

Видео Building a Recommender with Apache Spark & Elasticsearch канала npentreath