We host hands-on lab sessions, technology reviews, topical lectures, and plenty of social nights. Curious about graphs, want to pimp your non-RDBMS skills? Join us!
Modelling a recommendation engine: A worked example
Organised by Neo4J User Group
In this session we'll build a recommendation engine from scratch while paying particular attention to the modelling choices made along the way.neo4j
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Neo4j Full Stack Applications - Lessons and Disasters from the field
Featuring Matt Wright
If you are considering using neo4j as your core database, this is the talk for you.
Matt will share his team's failures and successes in building Search algorithms, Social Networking applications, recommendation engines, graph visualisations and Java Unmanaged Extensions in neo4j.
Python, R and Neo4j - The Data Science Stack
Featuring Nicole White
Most data scientists will tell you that they spend the majority of their time cleaning and munging data and only a fraction of their time actually building predictive models.
This is true in a traditional stack, where most of this data munging consists of writing some flavour of SQL – a lot of...neo4j r python
Neo4j uses in Biomedical Ontologies
Featuring Simon Jupp
Simon Jupp from the European Bioinformatics Institute will talk about a new repository of biomedical ontologies they have developed using Neo4j.
Data integration is intrinsic to how modern research is undertaken in areas such as genomics, drug development and personalised medicine. To better...
10 ways to mess up your Neo4j project
Featuring Rik Van Bruggen
Rik Van Bruggen, Regional Director at Neo Technology, will illustrate the different aspects that can go wrong when adopting this graph database technology. Obviously, there’s a number of technical aspects that can go wrong - but people sometimes forget that there’s also lots of project related...neo4j
Do you need to build a recommendation engine and have no idea where to start?
Featuring Max de Marzi
In this talk Max De Marzi from the Neo4j Field Team will give you an introduction.
Learn about content based, collaborative filtering, and hybrid recommendation engines. See how easy it is to build one in just a few lines of Cypher. Go beyond “Search” and give your users a truly valuable...
nextub: Real time recommendations for the leisure business
Featuring Amin Abu-Taleb
If there's anything more useful than a graph database, it's an app to find new places to go based on one of them!
Scraping and Graphing the Apple App Store
Featuring Brian Joyce
This month Brian Joyce is going to show us how he's built a graph of the applications in Apple's app store. He'll show three techniques he used to get meta-data from over 400,000 apps. Come along to find out what worked, what didn't and how neo4j helped deliver new insights into...#neo4j