Top 10 Use Cases: Real-Time Recommendations
By Bryce Merkl Sasaki
January 25, 2021 2 mins read
Discover how graph databases support sophisticated real-time recommendations of highly relevant products or content.
Keywords: eBay • product recommendations • purchase history • real-time recommendations • Recommendation Engine • use case
Personalized Product Recommendations at Nordstrom
By Allison Wu
February 12, 2020 9 mins read
Delve into how the Nordstrom hackathon team leveraged graph technology to create more personalized product recommendations with existing data.
Keywords: customer journey • graph technology • graphconnect • Nordstrom • property graph model • purchase data • recommendation • recommendations platform • Retail
Creating an Intelligent Recommendation Framework
By Jocelyn Hoppa
September 5, 2019 4 mins read
Read this blog to learn more about the benefits of using a native graph database to build a real-time recommendation engine with personalization.
Keywords: centrality algorithms • community detection • cypher • data model • graph algorithms • graph database • graph model • GraphQL API • index free adjacency • Intelligent Recommendations Framework
#GraphCast: Better Data, Better Decisions
By Allison Wu
August 16, 2019 < 1 min read
Check out this week’s #GraphCast, featuring a brief video on how a graph database like Neo4j helps you gain a sustainable competitive advantage.
Keywords: data • Data Relationships • graph database • GraphCast • icij • neo4j • paradise papers • relationships • Retail
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
Large-Scale Real-Time Recommendations with Neo4j
By Jocelyn Hoppa
January 30, 2019 8 mins read
Editor’s Note: This presentation was given by Tim Hanssen at GraphConnect 2018 in New York City. Presentation Summary Prepr is a multi-channel engagement platform that streamlines content workflows and powers valuable audience interactions. They were using the MySQL relational database… Read more →
Keywords: cypher • dynamic queue • engagement platform • event recommendations • graphconnect • MySQL • native graph database • real-time recommendations • relational database
Harnessing the Power of Neo4j for Overhauling Legacy Systems at Adobe
By Jocelyn Hoppa
January 23, 2019 2 mins read
Editor’s Note: This presentation was given by David Fox at GraphConnect New York in September, 2018. Presentation Summary Adobe’s Behance, a platform that allows people to showcase and discover creative work in a social media-type setting, was relying on a… Read more →
Keywords: activity feed • Adobe • Adobe Creative Cloud • Behance • Cassandra • Causal Clustering • dark launch • graphconnect • Legacy Systems • social feed
How to Exploit the 6 Relationships of Retail to Delight Your Customers [Infographic]
By Jocelyn Hoppa
November 30, 2018 < 1 min read
Retail opportunities are as big and dynamic as the industry has ever seen, and yet, knowing what to do or how to attack said opportunities is a bit more difficult to ascertain. U.S. retail sales per year are in the… Read more →
Keywords: Connected Data • Graph Databases • graph technology • Retail • retail competitive advantage • retail opportunities
How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]
By Jocelyn Hoppa
November 8, 2018 2 mins read
“You may also like” sounds simple, but there’s a lot happening behind the scenes. Real-time recommendations work best when they take into account both the user’s needs (what is of interest to them) and your business strategy (items you need… Read more →
Keywords: business rules • collaborative filtering • financial services • government services • graph platform • graph technology • Healthcare • knowledge-based filtering • neo4j • real-time recommendations
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
11 Must-See Speakers at GraphConnect 2018 in New York City
By Bryce Merkl Sasaki
August 24, 2018 2 mins read
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 →
Keywords: ai • data governance • data management • Data Scientist • graphconnect • machine learning • Master Data Management • Personalization • predictive analytics • Recommendations
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 ROI on Connected Data:
The Overlooked Value of Context for Business Insights [+ Airbnb Case Study]
By Bryce Merkl Sasaki
June 11, 2018 4 mins read
Your data is inherently valuable, but until you connect it, that value is largely hidden. Those data relationships give your applications an integrated view that powers real-time, higher-order insights traditional technology cannot deliver. In this series, we’ll examine how investments… Read more →
Keywords: Airbnb • Apache Hive • Connected Data • data discovery • data model • digital transformation • elasticsearch • master data • PageRank • python
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: Pricing & Revenue Management
By Bryce Merkl Sasaki
January 30, 2018 4 mins read
It’s never been easier for customers to comparison shop. In a matter of minutes, customers can compare prices for a specific product across a dozen stores — and all from the comfort of home. They can even compare prices and… Read more →
Keywords: Connected Data • graph technology • Marriott • neo4j • pricing engine • relational database • Retail • retail pricing • revenue management • sql
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
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
Graph Technology for Enterprise Master Data Management (MDM)
By Rachel Howard
July 14, 2017 9 mins read
Editor’s Note: This presentation was given by Aaron Wallace at GraphConnect San Francisco in October 2016. Presentation Summary Modern enterprises need to have a full, 360-view of their customers drive their bottom line. This requires the integration of data from… Read more →
Keywords: customer information management • data quality • fraud detection • graphconnect • Knowledge Graph • Master Data Management • MDM • metadata management • Pitney Bowes • single customer view
Financial Services & Neo4j: Anti-Money Laundering
By Bryce Merkl Sasaki
June 26, 2017 4 mins read
Reducing the risk of money laundering presents a similar challenge to that of fraud detection when it comes to today’s financial services landscape. Firms need to know where funds come from and where they are headed, but criminals use indirection… Read more →
Keywords: AML • anti-money laundering • cypher • Data Visualization • financial services • fraud detection • graph technology • money transfer • smurfing • sql
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
From the Neo4j Community: January 2017
By Rachel Howard
February 14, 2017 5 mins read
The year is off to a great start when to comes to the Neo4j community. If this month is any indication of what’s to come, then we know that 2017 will be a big year for Neo4j projects, drivers and… Read more →
Keywords: apache spark • cypher • docker • GraphX • IBM POWER8 • Neo4j Community • Panama Papers • python • sql • TrumpWorld
How Will Graph Technology Propel the Internet of Things? [Virtual Panel]
By Bryce Merkl Sasaki
September 8, 2016 9 mins read
The Internet of Things (IoT) is undoubtedly one of the greatest growing tides in technology today. The IoT sector is set to revolutionize everything from home appliances and self-driving cars to building management and smart farming. And while consumer-oriented IoT… Read more →
Keywords: connected car • Geospatial • graph database • graph technology • Internet of Things • IoT • machine learning • relational database • sql • time-series data