https://www.manning.com/books/graph-powered-machine-learning There are four chapters on recommendations and also a chapter on text
relation_threshold spans between 0 and 1
what's a bit weird is that a bigger threshold for entities will find more entities... but it soon starts to find entities that are not there
http://localhost:5000/?entities_threshold=2.0&relation_threshold=0.5&text=Example%20Text%20Elon%20Musk%20is%20father%20to%20bitcoin
there are also relation_threshold and entity_threshold parameters exposed that you can play around
❤️
because the entity needs to exist on Wikipedia
Add something like Elon Musk is father to Bitcoin 🙂
it's Flask on the backend
try localhost:5000?text=Example text, maybe add Elon Musk
