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Meet up

Using Clojure + Neo4j to build a meetup recommendation engine

Tuesday, 2nd February at CodeNode, London

This meetup is run by The London Clojure Community. Starts at 6:30 PM.

In this talk Mark will show how to build a meetup recommendation engine using the graph database Neo4j and Clojure. We'll build up a solution from scratch which combines content based and collaborative filtering using Cypher - the graph query language. - to find patterns in the graph and Clojure to do the data manipulation.

Using Clojure + Neo4j to build a meetup recommendation engine

In this talk Mark will show how to build a meetup recommendation engine using the graph database Neo4j and Clojure. We'll build up a solution from scratch which combines content based and collaborative filtering using Cypher - the graph query language. - to find patterns in the graph and Clojure to do the data manipulation.

Mark Needham

Mark is a graph advocate and field engineer for Neo Technology, the company behind the Neo4j graph database. As a field engineer, Mark helps customers embrace graph data and Neo4j by building sophisticated solutions to challenging data problems.

Thanks to our sponsors

Attending Members

Overview

In this talk Mark will show how to build a meetup recommendation engine using the graph database Neo4j and Clojure. We'll build up a solution from scratch which combines content based and collaborative filtering using Cypher - the graph query language. - to find patterns in the graph and Clojure to do the data manipulation.

Using Clojure + Neo4j to build a meetup recommendation engine

In this talk Mark will show how to build a meetup recommendation engine using the graph database Neo4j and Clojure. We'll build up a solution from scratch which combines content based and collaborative filtering using Cypher - the graph query language. - to find patterns in the graph and Clojure to do the data manipulation.

Mark Needham

Mark is a graph advocate and field engineer for Neo Technology, the company behind the Neo4j graph database. As a field engineer, Mark helps customers embrace graph data and Neo4j by building sophisticated solutions to challenging data problems.

Thanks to our sponsors

Who's coming?

Attending Members