Real-time recommendations

Watch Geoffrey Horrell's presentation on intelligent recommendation engines for financial analysts

Intelligent recommendation engine for financial analysts

11 min read
Data visualization for machine learning (ML)

Evaluating investor performance using Neo4j, GraphXR and ML

7 min read
Meet the Neo4j Hackathon team, Spatial Graph Apps.

(Hackathon)-[:AT]->(StackOverflowOffices)

8 min read
How to Exploit the 6 Relationships of Retail to Delight Your Customers

How to exploit the 6 relationships of retail to delight your customers [Infographic]

1 min read
Watch Adam Cowley's presentation on how to use Cypher to create a journey-planning tool.

Journey planning… and why I love Cypher

8 min read
Check out this infographic on the benefits of using graph technology to power real-time recommendations.

How real-time recommendations increase revenues, optimize margins and delight customers [Infographic]

1 min read
Learn how to use concepts in graph theory and predictive analysis to understand your connected data

Graph databases for beginners: Graph theory & predictive modeling

11 min read
Check out this rapid retail example of Cypher query code for graph data recommendations.

Powering recommendations with a graph database: A rapid retail example

6 min read
Discover how real-time recommendations support a number of different use cases that translate into business value.

Powering recommendations with a graph database: Proven business benefits [+ case studies]

6 min read