In this chapter, we have seen how Neo4j, as a graph database, is the best available option for creating recommendation systems based on similarity. This takes advantage of the pattern matching nature of the Cypher query language. We also looked at a social network recommender example, and also discussed how to incorporate map data into the generated suggestions. Finally, we saw the importance of data visualization and the major tools available for this objective. Thus, this book not only brings to you the in-depth study and administration of the Neo4j database, but also leaves you with one of the critical and widely popular use cases in the industry today.