How To Build a Graph-Based Recommendation Engine Using EDG and Neo4j

You can construct a powerful recommendation engine by integrating a taxonomy managed in TopQuadrant's EDG with a Neo4j property graph database. This approach enables powerful inferencing, where tagging an item with a specific category automatically links it to all of its broader parent topics. The architecture cleverly separates the instance data, like academic articles, from the metadata defining how topics relate to one another. Managing the taxonomy centrally simplifies updates and ensures consistency across multiple applications, playing to the unique strengths of each tool.