Powering Recommendations with a Graph Database: A Rapid Retail Example

It’s one thing to say that Neo4j streamlines real-time recommendations; it’s another to show you the code so you can see for yourself. In this series, we discuss how real-time recommendations support a number of different use cases, from product… Read more →

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Powering Recommendations with a Graph Database: Proven Business Benefits [+ Case Studies]

Relevant, real-time recommendations drive revenue, but they are challenging to deliver. That’s because good recommendations require bringing together so much data, surfacing the relationships between all that data and delivering just the right suggestion in context and in the moment.… Read more →

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11 Must-See Speakers at GraphConnect 2018 in New York City

There are a lot of great reasons to attend GraphConnect 2018, but one of the best reasons is that every year we feature a fresh, new lineup of the world’s best graph experts sharing their experiences on how graph database… Read more →

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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 →

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This Week in Neo4j – 19 August 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: Michelle Sanver This week’s featured community member is Michelle Sanver, Software Developer at… Read more →

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