Explore the process of building a meetup recommendation engine using Spring Data Neo4j in this 51-minute conference talk from Spring I/O 2016. Dive into the world of graph databases and learn how to leverage Meetup.com's data APIs to create a powerful recommendation system. Discover the advantages of using a property graph model over traditional relational databases for this type of application. Follow along as the speaker demonstrates how to implement the recommendation engine using Spring Boot and Spring Data Neo4j, covering topics such as domain modeling, data import strategies, and REST controller implementation. Gain insights into finding similar meetup groups, understanding what makes groups similar, and writing efficient Cypher queries for pattern matching in Neo4j. By the end of this talk, acquire the knowledge to create your own recommendation engine using web APIs or other data sources, applicable to various domains beyond meetups.