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This repository contains the source code and data used in our experiments described in the paper "An evaluation of Generative Adversarial Networks for Collabora…
This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented in our article "Content…
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approach…
This repository contains the code for the paper "A Methodology for the Offline Evaluation of RecommenderSystems in a User Interface with Multiple Carousels", pu…
A complete set of Recommender Systems techniques used in the Spotify Recsys Challenge 2018 developed by a team of MSc students in Politecnico di Milano.
This repository contains the core model we called "Collaborative filtering enhanced Content-based Filtering" published in our UMUAI article "Movie Genome: Allev…