Graph Database for Real-time Recommendation Engines

In this meetup, we would like to talk about one of the sweetspot use cases for graph databases: recommendation engines.

Not just the boring batch-based offline recommenders that we know from the past, but the real-time systems that are increasingly driving online systems these days. So: we will show you:

• why graph databases are such a great fit for this use case
• how we can quickly and efficiently build recommender systems using Neo4j

Pieter Cailliau will walk us through these topics and show us some real world examples with a live demo system.

Should be fun!

Speaker
Pieter Cailliau, Senior Software Engineering Consultant at Neo4j

Pieter is part of Neo Technology’s Field Engineering team based in London.

He holds a MSc in Computer Science from Ghent University, where he wrote a distinguished thesis on time-based graph models.

Prior to joining Neo4j, Pieter was an instanceof Software Engineer at TomTom, the world’s leader in location and navigation software, where he introduced Neo4j to enable real-time impact analysis on their map.