Michael Bachman of GraphAware discusses how to build a high-performance recommendation engine with Neo4j. He discusses business and technical challenges and shows their Java and Cypher code.
New use cases, features, and live demos designed to make analysts’ lives easier.
Our research, philosophy and case studies, all wrapped up in books and papers.
Discover GraphAware Hume’s features, demos, and graph technology insights.
Review our in-depth user guides and technical documentation to ensure flawless operations.
Michael Bachman of GraphAware discusses how to build a high-performance recommendation engine with Neo4j. He discusses business and technical challenges and shows their Java and Cypher code.
New use cases, features, and live demos designed to make analysts’ lives easier.
Our research, philosophy and case studies, all wrapped up in books and papers.
Discover GraphAware Hume’s features, demos, and graph technology insights.
Review our in-depth user guides and technical documentation to ensure flawless operations.