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Tutorial - Explainable Recommender Systems with Knowledge Graphs and Language Models

This tutorial is derived from our PEARLM Library

GitHub version Open Source Love

Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras
Department of Mathematics and Computer Science, University of Cagliari, ITALY

Hands on Tutorial on Explainable Recommender Systems with Knowledge Graphs and Language Models held as part of the 46th European Conference on Information Retrieval, Glasgow (Scotland), 24th March 2024.

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Citation

If the tutorial slides are useful for your research, we would appreciate an acknowledgment by citing our papers:


@inproceedings{balloccu2022post,
  title={Post processing recommender systems with knowledge graphs for recency, popularity, and diversity of explanations},
  author={Balloccu, Giacomo and Boratto, Ludovico and Fenu, Gianni and Marras, Mirko},
  booktitle={Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval},
  pages={646--656},
  year={2022}
}

@article{balloccu2023reinforcement,
  title={Reinforcement recommendation reasoning through knowledge graphs for explanation path quality},
  author={Balloccu, Giacomo and Boratto, Ludovico and Fenu, Gianni and Marras, Mirko},
  journal={Knowledge-Based Systems},
  volume={260},
  pages={110098},
  year={2023},
  publisher={Elsevier}
}

@article{balloccu2023faithful,
  title={Faithful Path Language Modelling for Explainable Recommendation over Knowledge Graph},
  author={Balloccu, Giacomo and Boratto, Ludovico and Cancedda, Christian and Fenu, Gianni and Marras, Mirko},
  journal={arXiv preprint arXiv:2310.16452},
  year={2023}
}

@article{balloccu2023knowledge,
  title={Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation},
  author={Balloccu, Giacomo and Boratto, Ludovico and Cancedda, Christian and Fenu, Gianni and Marras, Mirko},
  journal={arXiv preprint arXiv:2301.05944},
  year={2023}
}

Acknowledgements

This tutorial is produced with joint and equal effort of all the authors from the RecSys lab at University of Cagliari.

License

This code is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This software is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See the GNU General Public License for details.

You should have received a copy of the GNU General Public License along with this source code. If not, go the following link: http://www.gnu.org/licenses/.

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