Recommender System Challenge 2022

This repository contains all the code used in the Recommender System challenge of the Recommender System course at PoliMi.

Part of the code is taken from the course repository.

Data

There were given 3 datasets: ICM_length, ICM_type and interactions_and_impressions. With the first 2 we created the ICM, but there were few features and for this reason we didn't use the KNN Content Base Filtering recommender. From the last dataset we created the final URM.