There are 2 repositories under hybrid-recommender topic.
Recommendation System using ML and DL
Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
Hybrid recommendation engine using deep learning that incorporates user and item features, including images and text.
This repository contains the core model we called "Collaborative filtering enhanced Content-based Filtering" published in our UMUAI article "Movie Genome: Alleviating New Item Cold Start in Movie Recommendation"
This repository contains all the code used in the Recommender System challenge of the Recommender System exam at PoliMi.