Greetings from Kishore, Chennai, India

[kishore14101995]

Hi all,
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.

[roberto1]

Hi @kishore14101995, I have some experience with recommendation systems on neo4j if you need help or something please feel free to ask.

I could suggest you to review this resource:
https://neo4j.com/graphacademy/online-training/data-science/part-0/

[kishore14101995]

Greetings from Kishore, Chennai, India Introduce-Yourself

Hi @kishore14101995, I have some experience with recommendation systems on neo4j if you need help or something please feel free to ask. I could suggest you to review this resource: https://neo4j.com/graphacademy/online-training/data-science/part-0/

Hi Roberto,
Thanks much for your suggestion
It would be great if you could able to answer my query

Import json in neo4j and create relationship for Item Recommendation Cypher

Hi all, I have a json file containing array of objects Sample records from file is as below: Item JSON, [ { "id": "1", "name": "Pizza" }, { "id": "2", "name": "Coke" }, { "id": "3", "name": "Burger" } ] Order JSON, (the OrderedItems says Pizza and coke are brought together) [ { "OrderedItems": [ { "id": "1", "name": "Pizza" }, { "id": "2", "name": "Coke" } ] }, { "OrderedItems": [ { "id": "3", "name": "Burger" }, { "id": "1", "name": "Pizza" }, { "id": …

Thanks in advance