Repository related to the project of the Data Mining graduate course of University of Trento, academic year 2022/2023.
Contributors:
- Leonardo Vicentini
- Luca Vian
Final mark: 30/30 with praise
The proposed solution is a hybrid recommendation system leveraging a linear combination of Expanded-Item-Item Collaborative Filtering and Compact Item-Item Collaborative Filtering based on query result cardinality.
The solution is described in a report.
A README in the src folder describes how to run the code.