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Recommendation systems deliver more ROI than any other investment in Data Analytics. This talk will introduce the most basic but effective Recommendation System called Collaborative Filtering and show how to implement it using the Cypher Graph Query Language.
The mathematics behind collaborative filtering will be explained as will the usefulness of Graph in implementing such an engine. We will use AgensGraph, which adds graph capability to PostgreSQL, for the talk.
This talk is aimed at those who are new to either Cypher or basic recommendation system theory.