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Sunday, January 27 • 9:30am - 11:20am
Recommendation engines explained

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Many of the applications you use and love provide personalised experiences to their users. This hands-on workshop will introduce the basics of recommendation as a class of machine-learning problems, introduce collaborative filtering algorithms, which are a popular way to capture the commonality between users’ interests, and explain how these algorithms work. You’ll learn practical details of using recommendation in your own applications, including: data preparation, tuning the training process to get the most out of recommendation engines, scaling training out with Apache Spark, handling both explicit data (e.g., ratings) and implicit data (e.g., page views or play counts), training and scoring models against streaming and batch data.

avatar for Rui Vieira

Rui Vieira

Red Hat
Rui is a Software Engineer at Red Hat working on Data Science, Apache Spark and Spark Streaming applications.
avatar for Sophie Watson

Sophie Watson

Senior Data Scientist, Red Hat
Sophie Watson is a data scientist at Red Hat, where she helps customers use machine learning to solve business problems in the hybrid cloud. She is a frequent public speaker on topics including machine learning workflows on Kubernetes, recommendation engines, and machine learning... Read More →

Sunday January 27, 2019 9:30am - 11:20am CET