Graph-Powered Recommendations: How Smart Recommendations Drive Value

Read blog one in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.

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Knowledge Graph Search with Elasticsearch and Neo4j

Editor’s Note: This presentation was given by Luanne Misquitta and Alessandro Negro at GraphConnect New York in October 2017. Presentation Summary Knowledge graphs are key to delivering relevant search results to users, meeting the four criteria for relevance, which include… Read more →

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Retail & Neo4j: Ecommerce Delivery Service Routing

As a retailer, if you think keeping up with Amazon is expensive and time-consuming, consider the alternative: extinction. When it comes to delivery and fulfillment, Amazon is the uncontested emperor of ecommerce. Yet, their efficiency in tracking and delivering orders… Read more →

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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 →

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Amazon Eating Your Lunch? What Data-Driven Retailers Can Do About It [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Nearly every analyst of the retail industry would consider Amazon as the source of the declining… Read more →

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This Week in Neo4j – 27 May 2017

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Florin Pătraşcu This week’s featured community member is Florin Pătraşcu, System Architect at… Read more →

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Relevant Search Leveraging Knowledge Graphs with Neo4j

“Relevance is the practice of improving search results for users by satisfying their information needs in the context of a particular user experience, while balancing how ranking impacts business’s needs.”[1] Providing relevant information to the user performing search queries or… Read more →

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Digitalization & Optimizing Business Performance at Hästens

Editor’s Note: This presentation was given by Anders Ekström and Kent Lovestjärna at GraphConnect Europe in April 2016. Here’s a quick review of what they covered: The digitalization of mattress buying Data integration with Neo4j New graph, new business opportunities… 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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Reshipping Scams and Network Visualization

GraphConnect 2014 Sponsor, Linkurious, discuses mapping fraud with Neo4jOriginally posted on the Linkurious blogDrug lords are not the only persons using mules to launder money. eCommerce operations are confronted to “reshipping scams”. In these scams, mules are used by online… Read more →

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