Boosting Recommendation Engines with Graph Databases: A Neo4j Case Study

Discover how graph databases can transform the way you analyze customer relationships and optimize your recommendation engine. In this video, we dive into a real-world use case where we mapped customer data—using attributes like customer ID, surname, and address—to reveal hidden connections. Learn how linking people by shared households and similar surnames can lead to smarter, more personalized recommendations, and see how product relations further enhance your marketing strategies. Plus, get an inside look at how Neo4j delivers a user-friendly and computationally efficient solution for these complex challenges.

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