We will be using a very specific data model for our recommender system, which is based on the dataset that we imported in the previous chapter. All we have changed is that we added a couple of products and brands to the model, and inserted some data into the database correspondingly. In total, we added the following:
Ten products
Three product brands
Fifty relationships between existing person nodes and the mentioned products, highlighting that these persons bought these products
These are the products and brands that we added:
Adding products and brands to the dataset
The following diagram shows the resulting model:
In Neo4j, that model will look something like the following:
A graph model for our recommender model
A dataset like this one, while of course a broad simplification, offers us some interesting possibilities for a recommender system. Let's take a look at some queries that could really match this use case, and that would allow us to either visually...
