How Knowledge Graphs Drive More Sales With Real-Time Recommendation Engines
By Angela Zimmerman
May 16, 2022 18 mins read
Are you familiar with knowledge graphs? What about graph technology in general? If you’re in the retail business, this presentation could be a game-changer.
Keywords: Business Advice • data • data supply chain • eBay • graph database • graph technology • Knowledge Graph • Meredith Corp. • Retail • retail competitive advantage
Enabling Your Business with the Power of Connected Data
By Angela Zimmerman
February 9, 2022 3 mins read
This blog post will cover some high-level architecture designs to help you get started with a minimal setup.
Keywords: AI / Machine Learning • architecture • cloud • Connected Data • Enterprise • GCP • Graph Analytics • graph analytics platform • graph data platform • graph database
Jim Webber with Dr. Edgar Osuna: Using Graphs to Take Down Fraudsters
By Angela Zimmerman
January 13, 2022 14 mins read
Dr. Jim Webber and Dr. Edgar Osuna discuss how graph technology is used at TODO1 to identify bad actors in real-time financial crimes.
Keywords: anti-fraud • bank fraud • data science • financial crime • graph database • graph technology • TODO1
Discover the Soul of a Product Using Neo4j and React
By Allison Wu
February 10, 2021 16 mins read
See how the engineering team at Under Armour created an X-Ray Graph with Neo4j to enable employees to better understand the product journey.
Keywords: cypher • GRANDstack • graphconnect • GraphQL • product journey
Graph-Powered Recommendations: How Smart Recommendations Drive Value
By David Penick
May 11, 2020 2 mins read
Read blog one in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Keywords: artificial intelligence • ecommerce • graph-based technologies • machine learning • personalized experience • Recommendation Engines • Recommendations • relational
Mapping Ontologies in Graphs for Personalization
By Jocelyn Hoppa
February 20, 2019 14 mins read
Editor’s Note: This presentation was given by Irene Iriarte-Carretero at GraphConnect San Francisco in October 2016. Presentation Summary Gousto is a UK-based recipe box service that uses Neo4j to map recipe ontologies so it can provide more personalized recommendations to… Read more →
Keywords: collaborative filtering • content-based filtering • customer journey • gousto • graph ontology • graphconnect • hybrid recommender system • LightFM • Personalization • Recommendation Engine
Knowledge Graph Search with Elasticsearch and Neo4j
By Jocelyn Hoppa
October 9, 2018 20 mins read
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 →
Keywords: Connected Data • ecommerce • elasticsearch • graphconnect • Knowledge Graph • machine learning • Master Data Management • natural language processing • Recommendation Engine
Meet the 2018 Graphie Award Winners
By Bryce Merkl Sasaki
September 21, 2018 5 mins read
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 →
Keywords: artificial intelligence • Connected Data • digital transformation • Graph Analytics • graph platform • graph technology • graphconnect • machine learning • medical research • PageRank
Powering Recommendations with a Graph Database: A Rapid Retail Example
By Jocelyn Hoppa
September 3, 2018 5 mins read
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 →
Keywords: cypher • entity-relationship diagram • facebook • graph database • graph technology • neo4j • real-time recommendations • Recommendations • Retail Recommendations • schema
The eBay App for Google Assistant: Graph-Powered Conversational Commerce
By Jocelyn Hoppa
August 22, 2018 6 mins read
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 →
Keywords: ai • docker • eBay ShopBot • google cloud platform • graphconnect • knowledge graphs • Kubernetes • machine learning • natural language understanding • spark
Powering Recommendations with a Graph Database: Connect Buyer and Product Data
By Jocelyn Hoppa
August 20, 2018 4 mins read
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 →
Keywords: customer relationship management • graph database • graph technology • nosql • personalized promotions • product recommendations • rdbms • real-time recommendations • Recommendations • relational database
The Top 10 Reasons to Attend GraphConnect 2018 in New York City
By Bryce Merkl Sasaki
August 10, 2018 6 mins read
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 →
Keywords: Connected Data • cypher • data science • Data Visualization • graph algorithms • graph database • graph technology • graphconnect • Knowledge Graph • machine learning
Machine Learning on Graphs: 5-Minute Interview with Ajinkya Kale, Senior Applied Researcher at eBay
By Jocelyn Hoppa
July 6, 2018 3 mins read
“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 →
Keywords: 5-minute interview • chatbot • Data Visualization • eBay • Graph Databases • graph model • graph technology • Knowledge Graph • machine learning • natural language understanding
Retail & Neo4j: Network & IT Management for Retailers
By Bryce Merkl Sasaki
February 12, 2018 3 mins read
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 →
Keywords: Active Directory • bloodhound • CMDB • configuration management database • graph technology • index free adjacency • it infrastructure • IT Management • it operations • Retail
Retail & Neo4j: Ecommerce Delivery Service Routing
By Bryce Merkl Sasaki
January 17, 2018 4 mins read
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 →
Keywords: Amazon • cypher • eBay • ecommerce • ecommerce delivery • MySQL • Retail • ruby • service routing • service-oriented architecture
Retail & Neo4j: Customer Experience Personalization
By Bryce Merkl Sasaki
January 8, 2018 5 mins read
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 →
Keywords: Connected Data • customer experience • customer experience personalization • graph analysis • graph database • graph technology • neo4j • path analytics • Recommendation Engine • Retail
Welcome to the Graph Community, Amazon Neptune!
By Bryce Merkl Sasaki
December 1, 2017 5 mins read
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 →
Keywords: Amazon Neptune • cypher • Cypher for Apache Spark • graph database • graph query language • graph technology • graph visualization • native graph database • neo4j • opencypher
Retail & Neo4j: Personalized Promotion & Product Recommendations
By Bryce Merkl Sasaki
November 6, 2017 7 mins read
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 →
Keywords: Connected Data • Cyber Monday • ecommerce • graph technology • personalized promotion • product recommendations • real-time recommendations • Recommendation Engine • Retail • Walmart
Amazon Eating Your Lunch? What Data-Driven Retailers Can Do About It [Community Post]
By Bryce Merkl Sasaki
August 31, 2017 5 mins read
[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 →
Keywords: Amazon • Analytics • Connected Data • data silo • data-driven decision making • ecommerce • graph technology • multi-channel marketplace • recommender system • Retail
Enabling the Cisco Decoder Ring with Neo4j
By Rachel Howard
May 18, 2017 12 mins read
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 →
Keywords: business rules engine • Cisco • crowdsourcing • data integrity • data model • Data Relationships • enterprise data services • ERP • graphconnect • Hierarchy Management
Relevant Search Leveraging Knowledge Graphs with Neo4j
By Bryce Merkl Sasaki
May 5, 2017 13 mins read
“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 →
Keywords: artificial intelligence • conceptnet • ecommerce • elasticsearch • Knowledge Graph • machine learning • natural language processing • product catalog • Recommendation Engine • user experience
Fraud Prevention with Neo4j: A 5-Minute Overview
By Bryce Merkl Sasaki
April 21, 2017 5 mins read
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 →
Keywords: credit card fraud • data science • ecommerce fraud • financial services • fraud detection • fraud pattern • fraud prevention • Fraud Rings • Insurance Fraud • pattern analysis
The 5-Minute Interview: Kent Lovestjärna, Digital Media Manager at Hästens
By Bryce Merkl Sasaki
May 20, 2016 3 mins read
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 →
Keywords: 5-minute interview • digital media • graph • Graph Databases • graphconnect • Hästens • Master Data Management • neo4j • SAP • Sweden
Stop Fraud Rings in Their Tracks with Graph Databases [Infographic]
By Bryce Merkl Sasaki
May 16, 2016 < 1 min read
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 →
Keywords: bank fraud • ecommerce fraud • fraud analytics • fraud detection • Fraud Rings • Graph Databases • infographic • Insurance Fraud • neo4j • organized fraud
Content Is Still King: How We Use Neo4j at Packt Publishing
By Bryce Merkl Sasaki
April 8, 2016 8 mins read
‘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 →
Keywords: collaborative filtering • content marketing • cypher • metadata • Packt Publishing • product recommendations • Recommendation Engine • Stack Exchange API • stack overflow • tf-idf