The blog

Tag Publications: recommendation

The Crunchbase Graph : analysing the graph

Crunchbase is collecting information about the startup eco-system. Its data is available via csv files. We have seen how to model it and load it into the Neo4j graph database. Now we are going to analyse the data to identify market trends and influential investors. The roles of analysis and visualization We have seen how to […]

Using Neo4j to build a recommendation engine based on collaborative filtering

We have see recently how to use a Neo4j database to run a recommendation engine for an online dating site (or for any recommendation problem). Today, we are going to see a different approach to that same problem based on collaborative filtering. What is collaborative filtering? Collaborative filtering is a technique used by recommendation engines. […]

Recommendation and graphs : an online dating use case

Graph technologies are very good for recommendation. It is no wonder that the biggest online dating websites are using it. We are going to see through a concrete example how to use graphs to find love with the Neo4j graph database. Online dating and graphs : a love story? In the last months a few […]