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Building Recommendation Engines by Suresh Kumar Gorakala

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Summary

Kudos! We have created recommendation engines using the Neo4j graph database. Let us recap what we have learned in this chapter. We started the chapter by giving a very brief introduction to graphs and graph databases. We covered a very short introduction to the core Neo4j graph database concepts such as the labeled property graph model, Nodes, Labels, Relationships, Cypher query language, Patterns, Node syntax, and Relationship Syntax.

We also touched upon Cypher clauses that are useful in building recommendations, such as MATCH ,CREATE ,LOADCSV ,RETURN ,AS ,and WITH.

Then we moved onto installation and setting up Neo4j from the browser tool in the Windows and Linux platforms.

Once the entire working environment was setup to build our recommendation ...

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