Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives

Author:

Schedl Markus1ORCID,Anelli Vito Walter2ORCID,Lex Elisabeth3ORCID

Affiliation:

1. Johannes Kepler University Linz and Linz Institute of Technology, Austria

2. Politecnico di Bari, Italy

3. Graz University of Technology, Austria

Funder

Austrian Science Fund

State of Upper Austria and the Federal Ministry of Education, Science, and Research

Publisher

ACM

Reference24 articles.

1. Vito Walter Anelli , Vito Bellini , Tommaso Di Noia , and Eugenio Di Sciascio . 2020. Knowledge-Aware Interpretable Recommender Systems . In Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges, Ilaria Tiddi, Freddy Lécué, and Pascal Hitzler (Eds.). Studies on the Semantic Web, Vol. 47 . IOS Press , 101–124. https://doi.org/10.3233/SSW 2000 14 10.3233/SSW200014 Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, and Eugenio Di Sciascio. 2020. Knowledge-Aware Interpretable Recommender Systems. In Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges, Ilaria Tiddi, Freddy Lécué, and Pascal Hitzler (Eds.). Studies on the Semantic Web, Vol. 47. IOS Press, 101–124. https://doi.org/10.3233/SSW200014

2. Interpretability of BERT Latent Space through Knowledge Graphs

3. Vito Walter Anelli , Yashar Deldjoo , Tommaso Di Noia , Antonio Ferrara , and Fedelucio Narducci . 2021 . How to put users in control of their data in federated top-N recommendation with learning to rank. In SAC ’21 : The 36th ACM/SIGAPP Symposium on Applied Computing. ACM, 1359–1362 . Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, and Fedelucio Narducci. 2021. How to put users in control of their data in federated top-N recommendation with learning to rank. In SAC ’21: The 36th ACM/SIGAPP Symposium on Applied Computing. ACM, 1359–1362.

4. Vito Walter Anelli Yashar Deldjoo Tommaso Di Noia and Felice Antonio Merra. 2022. Adversarial Recommender Systems: Attack Defense and Advances. In Recommender Systems Handbook Francesco Ricci Lior Rokach and Bracha Shapira (Eds.). Springer US 335–379. Vito Walter Anelli Yashar Deldjoo Tommaso Di Noia and Felice Antonio Merra. 2022. Adversarial Recommender Systems: Attack Defense and Advances. In Recommender Systems Handbook Francesco Ricci Lior Rokach and Bracha Shapira (Eds.). Springer US 335–379.

5. Vito Walter Anelli , Tommaso Di Noia , Pasquale Lops , and Eugenio Di Sciascio . 2017. Feature Factorization for Top-N Recommendation: From Item Rating to Features Relevance . In Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017 ), Como, Italy, August 27, 2017(CEUR Workshop Proceedings, Vol . 1887). 16–21. Vito Walter Anelli, Tommaso Di Noia, Pasquale Lops, and Eugenio Di Sciascio. 2017. Feature Factorization for Top-N Recommendation: From Item Rating to Features Relevance. In Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27, 2017(CEUR Workshop Proceedings, Vol. 1887). 16–21.

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