Recommendation System using ML and DL
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Updated
Dec 8, 2022 - Jupyter Notebook
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.
MelodyMind offers personalized music recommendations, from a real-time Last.fm API-powered app to an advanced hybrid system combining content-based and collaborative filtering with LightFM.
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"
"A hybrid recommendation system enhancing personalized music suggestions using collaborative and content-based filtering."
This repository contains all the code used in the Recommender System challenge of the Recommender System exam at PoliMi.
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