I am a new neo4j developer, I am currently working in a Startup which primarily serves hospitality industry.
In that our team develops food ordering system, last week our team got a challenge to recommend items to the user based on the past order history of all orders.
So everyone thought of using collaborative filtering using machine learning. But I had other ideas, so I have started learning graph db for past 3 days and trying to do a POC to prove them graph db is better for item recommendation.
I look forward to interacting with the community here.