Driving retail success with graph data platform
By Retail World Magazine - February 4, 2022
Explore: APAC • graph data platform • Recommendation Engine • Retail • Retail Recommendations
Neo4j as an Embedded Database: The Key Use Cases of Graph Databases
By Enzo
February 2, 2022 7 mins read
Check out some of the popular use cases for graph databases that you could embed into your product or application.
Explore: application • cybersecurity • embedded database • fraud detection • graph database • iam • IT ops • Master Data Management • MDM • Recommendation Engine
This Week in Neo4j – More on GraphQL v2, A Focus on Graph Embeddings, and Recommendation Engines with Kafka
By Clair Sullivan
August 21, 2021 5 mins read
Hello, everyone! For this week of Twin4j, we wanted to highlight a few different things. First, we get the chance to take an in-depth look at the newly-released GraphQL library 2.0.0. Next, we are dedicating most of this issue to… Read more →
Explore: Aura • FastRP • graph data science library • graph database • graph embeddings • GraphQL • GraphSAGE • Kafka • node2vec • Recommendation Engine
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.
Explore: eBay • product recommendations • purchase history • real-time recommendations • Recommendation Engine • use case
Chaos Engineering with Neo4j
By Allison Wu
September 23, 2020 9 mins read
Explore how to do chaos engineering if Neo4j is part of your application stack, and obtain foreknowledge of how to save the day when bad things happen.
Explore: chaos engineering • failure injection testing • fraud detection • graphconnect • identity management • Master Data Management • Recommendation Engine
The Secret Sauce of Neo4j: Modeling and Querying Graphs
By Allison Wu
July 1, 2020 24 mins read
Learn about the secret sauce of Neo4j, and understand what graphs are all about. Delve into use cases such as recommendation engines and flight data.
Explore: cypher • graphconnect • modeling • nosql • property graph model • Recommendation Engine • Relational Databases • secret sauce of Neo4j • sql • use cases
This Week in Neo4j – Building a low-code platform, Beer Recommendations, Building A GRANDstack Real Estate Search App
By Mark Needham
June 20, 2020 4 mins read
Check out this week in Neo4j: building a low-code platform, real-time recommendation engines for beer and building a GRANDstack real estate search app.
Explore: beer graph • collaborative filtering • Dr. Alexander Jarasch • low-code • node2vec • Recommendation Engine • twin4j
Graph-Powered Recommendations: Hybrid Scoring and Graph Data Science
By David Penick
June 8, 2020 2 mins read
Read blog four in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Explore: CPG • cypher • graph algorithms • graph-powered recommendation engines • hybrid scoring • Recommendation Engine • Recommendations • recommendations framework
Graph-Powered Recommendations: A Framework for Faster Development
By David Penick
June 1, 2020 3 mins read
Read blog three in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Explore: blog series • graph algorithms • graph database • graph powered recommendation • graph recommendation engine • Neo4j Recommendation Framework • Personalization • personalized recommendations • Recommendation Engine
Neo4j Online Developer Expo & Summit Is Back!
By Jocelyn Hoppa
May 20, 2020 2 mins read
NODES 2020 is a free, multi-track, one-day virtual conference loaded with highly technical presentations delivered by Neo4j experts on graph-related topics. October 20, 2020 8:00 – 17:00 EDT | 12:00-21:00 GMT Last year was a hit! With five tracks, over… Read more →
Explore: ai • call for papers • cypher • machine learning • neo4j • Neo4j Certified Professionals • Neo4j Community • Neo4j online developer expo summit • nodes 2020 • Recommendation Engine
Graph-Powered Recommendations: Instantly Evaluating Relationships
By David Penick
May 18, 2020 3 mins read
Read blog two in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Explore: Big Data • blog • blog series • cypher • Cypher Query • graph algorithms • graph powered recommendation • Hadoop • Intelligent Recommendations Framework • Recommendation Engine
Lean Graph Data Models Drive Fast Innovation: A Fireside Chat with David Fox, Senior Software Engineer at Adobe
By David Penick
May 1, 2020 6 mins read
Check out this fireside chat with David Fox of Adobe, who discusses how Adobe’s Behance social media platform works with Neo4j.
Explore: Adobe • Behance • Cassandra • cypher • David Fox • DevOps • fireside chat • graph data model • IT ops • neo4j
The Future of the Intelligent Application: Business Agility
By Deb Cameron
March 23, 2020 4 mins read
Learn more about how Neo4j 4.0 provides business agility by design to your applications through multi-database and cloud deployment options.
Explore: agility • application architecture • Aura • business agility • business applications • cloud • development life cycle • graph database • multi-database • Neo4j 4.0
Neo4j 4.0 Security Rocks: The 5-Minute Interview with Michal Bachman, CEO, GraphAware
By David Penick
February 14, 2020 4 mins read
In this week’s five-minute interview with Michal (conducted at GraphTour NYC 2019), we discuss how his company, GraphAware, uses graph technology.
Explore: 5-minute interview • ai • data model • graph algorithms • graph database • GraphAware • java • Knowledge Graph • machine learning • Neo4j Community
A Conversation with Graphs
By Corin Gainey
November 20, 2019 19 mins read
Editor’s Note: This presentation was given by Tatiana Hartinger at GraphConnect New York in September 2018. Presentation Summary Tatiana Hartinger is a mathematician and a Cognitive Solutions Consultant specializing in graph theory from Cognitiva. Cognitiva is using graphs to enhance… Read more →
Explore: ai • Connected Data • cypher • graph algorithms • Graph Databases • Graph Theory • graphconnect • json • machine learning • neo4j
Building A Photo-Based Personalized Recommendations Application
By Towards Data Science - October 5, 2019
Explore: personalized recommendations • Recommendation Engine
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 →
Explore: collaborative filtering • content-based filtering • customer journey • gousto • graph ontology • graphconnect • hybrid recommender system • LightFM • Personalization • Recommendation Engine
Intelligent Recommendation Engine for Financial Analysts
By Jocelyn Hoppa
December 7, 2018 8 mins read
Editor’s Note: This presentation was given by Geoffrey Horrell at GraphConnect New York in October 2017. Presentation Summary Thomson Reuters has been collecting data for the last 150 years. It became clear that its financial analysis custers were struggling with… Read more →
Explore: Data Relationships • financial analysis • financial data insight • graph database • graphconnect • Knowledge Graph • natural language processing • property graph • Recommendation Engine • Thomson Reuters
This Week in Neo4j – Analyzing PostgreSQL metadata, Similarity Algorithms Deep Dive, Decision Streams
By Mark Needham
November 24, 2018 5 mins read
Welcome to This Week in Neo4j where I share the most interesting things I found in our community over the last seven days. This week I had fun with the online meetup on similarity algorithms with Tomaz Bratanic. I came… Read more →
Explore: decision stream • firebase • GraphQL • Postgres • Recommendation Engine • similarity algorithms • twin4j
How to Know What You Know:
5-Minute Interview with Dr. Alessandro Negro, Chief Scientist at GraphAware
By Jocelyn Hoppa
November 2, 2018 5 mins read
“I want to know what I know. That describes what knowledge graphs do for companies,” said Dr. Alessandro Negro, Chief Scientist at GraphAware. In this week’s five-minute interview, we discuss how GraphAware uses natural language processing to help companies gain… Read more →
Explore: 5-minute interview • data model • fraud detection • graph algorithms • graph technology • Knowledge Graph • machine learning • natural language processing • Recommendation Engine • textual data
We Just Closed the Largest Single Investment in the Graph Space. Now What?
By Bryce Merkl Sasaki
November 1, 2018 5 mins read
I’m thrilled to announce that Neo4j has just closed $80 million in a series E funding round. We are happy to welcome One Peak Partners and Morgan Stanley Expansion Capital to the graph of Neo4j funders. I’d also like to… Read more →
Explore: ai • artificial intelligence • Connected Data • fraud detection • graph database • graph technology • machine learning • ML • neo4j • Recommendation Engine
Chip Design on Graphs: 5-Minute Interview with Chuck Calio, Offering Manager, IBM PowerAI
By Jocelyn Hoppa
October 19, 2018 4 mins read
We use Neo4j to design our next-generation Power chips, said Chuck Calio, Offering Manager IBM PowerAI at IBM. The future of graph technology is in AI, but it’s not the only use case. From designing hardware (naturally a graph) to… Read more →
Explore: 5-minute interview • ai • dynamic pricing • graph algorithms • graph database • graph technology • machine learning • Master Data Management • nosql • 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 →
Explore: Connected Data • ecommerce • elasticsearch • graphconnect • Knowledge Graph • machine learning • Master Data Management • natural language processing • Recommendation Engine
Bring Order to Chaos: A Graph-Based Journey from Textual Data to Wisdom
By Jocelyn Hoppa
September 19, 2018 12 mins read
Data is everywhere. News, blog posts, emails, videos and chats are just a few examples of the multiple streams of data we encounter on a daily basis. The majority of these streams contain textual data – written language – containing… Read more →
Explore: ai • Connected Data • cypher • enterprise search engine • graph database • GraphAware Hume • Knowledge Graph • machine learning • nlp • Recommendation Engine
Knowledge Graphs: The Path to Enterprise AI
By Jocelyn Hoppa
July 11, 2018 28 mins read
Editor’s Note: This presentation was given by Michael Moore and Omar Azhar at GraphConnect New York in October 2017. Presentation Summary Once your data is connected in a graph, it’s easy to leverage it as a knowledge graph. To create… Read more →
Explore: Connected Data • data mobilization • enterprise AI • enterprise search • graph database • graph technology • Knowledge Graph • machine learning • natural language processing • Recommendation Engine