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Thursday, September 20 • 1:55pm - 2:10pm
Large-scale realtime recommendations with Neo4j

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You want a valuable relationship with your audience with as much interaction as possible. Because, more interaction is more impact. The bigger the impact, the higher your conversion.

We use Neo4j to do large scale realtime recommendations, dynamic waiting lists, marketing, identify management and ticketing for one of the largest festival organisers in the word, and in this talk we’ll explain how we do it.
Attendees will learn:
  • How we’re able to handle a peak load of 50,000 registrations per minute with a 3 server Neo4j cluster
  • What it’s like running a whole application on Neo4j. This is the only database we use so it’s a completely graph backed application.
  • Tips and tricks for running Neo4j in production and achieving incredible speed and performance

avatar for Tim Hanssen

Tim Hanssen

Tech Lead, MediaConnect

Thursday September 20, 2018 1:55pm - 2:10pm EDT
6. Wilder
  Lightning Talk, AI and Machine Learning
  • TAGS AI and Machine Learning; Recommendation Engines
  • VIDEO a1Hce03GvVU
  • SLUG large-scale-realtime-recommendations