Implementing a Real-Time Streaming Recommendation Engine Quickly with Neo4j — David Stephenson

18 May, 2017



Slides for this talk: https://www.slideshare.net/neo4j/graphconnect-europe-2017-implementing-a-realtime-streaming-recommendation-engine-within-two-weeks-with-neo4j Recommendation engines are critical in today’s ecommerce sector. They dramatically increase sales while simultaneously improving the customer shopping experience by helping customers quickly identify and locate the most relevant items. Implementing such a recommendation engine in production, however, can be a very expensive and time-consuming process. In this case study, Dr. Stephenson will explain how the Axel Springer digital group creatively leveraged existing technologies to build a real-time streaming implementation on an existing ecommerce platform — in only two weeks. Neo4j was used as a key part of the solution architecture that made this launch possible. David Stephenson