Recommendation Systems with the Elastic Stack
Search recommendations are a simple way to direct users to results they might not find on their own. This instructor-led course will walk you through creating and running a simple movie recommendation system using the Elastic Stack and Spark.
Note: This course is a module of the Data Science specialization.
After exploring how the Elastic Stack can be used for recommendations, you will learn how use significant terms aggregations to find "commonly uncommon" recommendations. You will then use Graph, the perfect tool for visualizing the recommendations as you discover them. After completing this course, you will be able to use the Elastic Stack in combination with Spark to make retail-style recommendations.
- Creating a Recommendation System with the Elastic Stack
- Significant Recommendations with Graph
- Sharing Data Between Elasticsearch and Apache Spark
- Collaborative Filtering for Recommendations
- Stable internet connection
- Mac, Linux, or Windows
- Latest version of Chrome or Firefox (Safari is not 100% supported)
Virtual Classroom Information
This instructor-led course is only taught in a virtual classroom environment. We encourage participants to set up their systems prior to logging into the training environment the first day of the class. We also encourage being logged into the virtual classroom 15 minutes prior to the start of class each day.
This course is a module of the Data Science specialization. Find out how our focused Training Specializations can help you with your use case.