Neo4j + AWS Lambda & API Gateway to Create a Recommendation Engine

The Challenge of Findability and Why Graphs? Here at the SAVO Group, we are in the business of sales enablement via Software as a Service (SaaS). One of the tools that we provide our customers is the ability to prescribe… Read more →

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Building a Real-Time Recommendation Engine with Data Science

Editor’s Note: This presentation was given by Nicole White at GraphConnect Europe in April 2016. Here’s a quick review of what she covered: Basic graph-powered recommendations Social recommendations Similarity recommendations Cluster recommendations – What we’re going to be talking about… Read more →

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(Un)common Use Cases for Graph Databases

At GraphAware, we live and breathe Neo4j. For three years, we have been helping customers around the world embrace this amazing technology as a solution to many interesting problems. Mainstream applications of graphs, such as real-time recommendations, fraud detection, impact… Read more →

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How Walmart Uses Neo4j for Retail Competitive Advantage

In a little over 50 years, Walmart grew from a small, family-owned business to become the world’s largest public corporation, with over 2 million employees and annual revenues of $470 billion. But Walmart didn’t just become the world’s largest retailer… Read more →

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