Building a Real Time Recommendation Engine with Neo4j
Build a real time recommendation engine from the ground up using the Neo4j graph database and Cypher, the query language for graphs. Using a real life data set combined with a content-based and collaborative filtering to develop a multi faceted recommendation application. This training also covers how to make modeling decisions based on the types of questions being asked of the data and how to optimize your model and queries for maximum performance.
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