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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 Collaborative Filtering". Refer to the README file to run our experiments.

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fernandobperezm/ecir-2022-an-evaluation-of-GAN-for-CF

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arXiv Repo DOI

An Evaluation of Generative Adversarial Networks for Collaborative Filtering.

This repository was developed by Fernando B. Pérez Maurera. Fernando is a Ph.D. student at Politecnico di Milano.

This repository contains the source code of the following articles:

  • An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering. Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, and Paolo Cremonesi. ECIR 2022. arXiv, GitHub, Zenodo

See our website for more information on our research group. We are actively pursuing this research direction in evaluation and reproducibility, we are open to collaboration with other researchers. Follow our project on ResearchGate

This repo is divided in three folders:

You'll find instructions to install this project and run the experiments in the
README inside evaluation-cfgan, in fact, all commands must be run inside the evaluation-cfgan folder.

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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 Collaborative Filtering". Refer to the README file to run our experiments.

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