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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Meet the 2018 Graphie Award Winners

Last night at GraphConnect 2018, we announced the 11 winners of the 2018 Neo4j Graphie Awards at the conference’s closing reception. The Graphie Awards celebrate the world’s most innovative graph technology applications, recognizing success in connected data across multiple categories… Read more →

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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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The eBay App for Google Assistant: Graph-Powered Conversational Commerce

Editor’s Note: This presentation was given by Ajinkya Kale and Anuj Vatsa at GraphConnect New York in October 2017. Presentation Summary The eBay App for Google Assistant is a chatbot powered by knowledge graphs that supports conversational commerce. In creating… 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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The Top 10 Reasons to Attend GraphConnect 2018 in New York City

Once again, GraphConnect makes its way back to the vibrant island of Manhattan this autumn! Whether you’re new to the world of graph database technology or you’ve been a part of the movement for some time, there’s something new for… Read more →

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Machine Learning on Graphs: 5-Minute Interview with Ajinkya Kale, Senior Applied Researcher at eBay

“Most people are not yet looking at graph databases from a machine-learning point of view. All the inherent knowledge we as humans use to make decisions can be encoded in a graph structure,” said Ajinkya Kale, Senior Applied Researcher at… Read more →

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Retail & Neo4j: Network & IT Management for Retailers

In order to re-invent the value chain from linear to circular and highly connected, retailers need to modernize their IT infrastructure rapidly and cost-effectively. In addition, web-based retailers must find a way to handle scale and sophistication to remain competitive.… 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: Customer Experience Personalization

To remain viable, today’s retailers must be nimble enough to face their colossal online competition while also addressing another new reality of retail: The customer is now at the center of the value chain. In order to adapt to these… Read more →

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Welcome to the Graph Community, Amazon Neptune!

This post originally appeared on Emil Eifrem’s CEO blog on 1 December 2017. Graph technology has come a long way, and today the transformative nature of graphs is publicly visible through examples such as financial fraud detection in Panama and… 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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Enabling the Cisco Decoder Ring with Neo4j

Editor’s Note: This presentation was given by Andrew Chappell at GraphConnect San Francisco in October 2016. Here’s a quick review of what he covered: What is a decoder ring, and why do you need one? The power of hierarchy management… 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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Fraud Prevention with Neo4j: A 5-Minute Overview

Fraud is becoming increasingly difficult to discover and prevent as fraudsters are increasingly employing complex techniques and advanced technologies to perpetrate fraud. Who Are Today’s Fraudsters? Today, fraudsters are organized in groups, possess synthetic or manufactured identities – which in… Read more →

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The 5-Minute Interview: Kent Lovestjärna, Digital Media Manager at Hästens

For this week’s 5-Minute Interview, I caught up with Kent Lovestjärna, the Digital Media Manager at Hästens Sängar in Köping, Sweden. I chatted at Kent while we were at GraphConnect Europe. Here’s what we discussed: Q: Talk to me about… Read more →

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Stop Fraud Rings in Their Tracks with Graph Databases [Infographic]

Fraud rings are big business. First-party bank fraud costs banks (and their customers) over $16 billion each year in the United States, and insurance fraud costs nearly $80 billion annually. And fraud rings organized around ecommerce fraud rack up nearly… Read more →

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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 →

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The 5-Minute Interview: Matthias Sieber, Senior Software Engineer, MediaHound

This week, I had the opportunity to interview Matthias Sieber, Senior Software Engineer at MediaHound, at our offices in San Mateo, California. Here’s what we talked about in this week’s 5-Minute Interview. Q: Can you talk to me about your… Read 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… Read more →

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How Graph Databases Stop E-commerce Fraud in Real Time

As our lives become increasingly digital, a growing number of financial transactions are conducted online. Fraudsters have been quick to adapt to this trend, and to devise clever ways to defraud online payment systems. While this type of activity can… Read more →

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Non-Text Discovery with ConceptNet as a Neo4j Database [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.] The Problem of Discovery Discovery, especially non-text discovery, is hard. When looking for a cool T-shirt,… Read more →

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