Jumbo Recommendation system
Semester programme:
Minor Data Driven Business Lab
Client company:Jumbo
Project group members:
Andreea Dumitru
Nikola Bolic
Piedro Meulendijks
Project description
The project involves creating a recommendation system for Jumbo’s customers, the goal is to provide Jumbo customers with recipe recommendations based on the recipes they have previously prepared
Context
For the project, we received a dataset with over 60,000 recipes, in a JSON format. We had to clean this dataset to ensure that the data contains accurate information that can be utilised in our recommendations system.
Results
As a final result, we are constructing a recommendation system for Jumbo’s customers
