Top 10 Use Cases: Real-Time Recommendations

Discover how graph databases support sophisticated real-time recommendations of highly relevant products or content.

Explore:  


Powering Recommendations with a Graph Database: Connect Buyer and Product Data

Effective recommendations increase revenue and drive up average order value. But delivering highly relevant, real-time recommendations requires as much context as possible. Connecting the user to the perfect recommendation is an art. In this three-part series, we explore using recommendations… Read more →

Explore:  


Retail & Neo4j: Personalized Promotion & Product Recommendations

Today’s retailers face a number of complex and emerging challenges. Thanks to lower overhead and higher volume, online behemoths like Amazon can deliver products faster and at a lower price, driving smaller retailers out of business. In order to compete,… Read more →

Explore:  


Content Is Still King: How We Use Neo4j at Packt Publishing

‘Content is King,’ Bill Gates famously said twenty years ago, making his prediction that soon ‘anyone with a PC and a modem can publish whatever content they can create’. As time has gone by, this has only become more true.… Read more →

Explore:  


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 →

Explore: