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,… Learn More →

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This Week in Neo4j – 2 April 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. It’s a varied episode this week – we’ve got a worm’s neuronal wiring graph, bitcoin explorers,… Learn More →

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Who Cares What Beyoncé Ate for Lunch?

Editor’s Note: This presentation was given by Alicia Powers at GraphConnect Europe in April 2016. Here’s a quick review of what she covered: The global obesity epidemic How to verify your data model The key components of a recommendation engine… Learn More →

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From the Neo4j Community: February 2016

In the Neo4j community last month, love was in the air. That love expressed itself as more nodes than ever in our community content. From articles and podcasts to GraphGists and other projects, our global graph of community members keeps… Learn More →

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Your Perfect Mix Tape for Original Art: Artfinder + Neo4j [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.] They say that that good artists copy, but great artists steal, right? At Artfinder, the global… Learn More →

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The 5-Minute Interview: Scott David, World Economic Forum

This week’s 5-minute interview is with Scott David, the Director of Information Interaction at the World Economic Forum. I caught up with Scott David for a video interview at GraphConnect San Francisco. Q: Please tell us a little bit about… Learn More →

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Neo4j Doc Manager: Polyglot Persistence for MongoDB & Neo4j

When building scalable applications, developers have a myriad of technologies to choose from, especially when choosing a database technology. We want to choose the right piece of technology that offers optimal enhancement of functionality or performance boost. However, when adding… Learn More →

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The Future of Recommendation Engines: Graph-Aided Search

Editor’s Note: GraphAware is a Silver sponsor of GraphConnect San Francisco. Register for GraphConnect to meet Michal and other sponsors in person. For the last couple of years, Neo4j has been increasingly popular as the technology of choice for people… Learn More →

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Graph Databases in the Enterprise: Real-Time Recommendation Engines

Whether your enterprise operates in the retail, social, services or media sector, offering your users highly targeted, real-time recommendations is essential to maximizing customer value and staying competitive. Unlike other business data, recommendations must be inductive and contextual in order… Learn More →

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Congratulations to Aurelius, Välkommen to DataStax!

Congratulations to Aurelius on the news of your recent acquisition! The Aurelius team has always been our companions in promoting the value of relationships in data, and I wish you all the best as you embark upon the journey of… Learn More →

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