| A historical perspective of explainable Artificial Intelligence R Confalonieri, L Coba, B Wagner, TR Besold Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 11 (1 …, 2021 | 360 | 2021 |
| Personalised novel and explainable matrix factorisation L Coba, P Symeonidis, M Zanker Data & Knowledge Engineering 122, 142-158, 2019 | 24 | 2019 |
| Counteracting the filter bubble in recommender systems: Novelty-aware matrix factorization P Symeonidis, L Coba, M Zanker Intelligenza Artificiale 13 (1), 37-47, 2019 | 20 | 2019 |
| recoXplainer: A Library for Development and Offline Evaluation of Explainable Recommender Systems L Coba, R Confalonieri | 18 | 2022 |
| Decision making strategies differ in the presence of collaborative explanations: two conjoint studies L Coba, L Rook, M Zanker, P Symeonidis Proceedings of the 24th International Conference on Intelligent User …, 2019 | 18 | 2019 |
| Replication and reproduction in recommender systems research-evidence from a case-study with the rrecsys library L Çoba, M Zanker Advances in Artificial Intelligence: From Theory to Practice: 30th …, 2017 | 17 | 2017 |
| Choosing between hotels: impact of bimodal rating summary statistics and maximizing behavioral tendency L Coba, L Rook, M Zanker Information Technology & Tourism, 1-20, 2019 | 15 | 2019 |
| Recommending the video to watch next: an offline and online evaluation at youtv. de P Symeonidis, A Janes, D Chaltsev, P Giuliani, D Morandini, ... Proceedings of the 14th ACM Conference on Recommender Systems, 299-308, 2020 | 11 | 2020 |
| Exploring Users' Perception of Collaborative Explanation Styles L Coba, M Zanker, L Rook, P Symeonidis 2018 IEEE 20th Conference on Business Informatics, 2018 | 9 | 2018 |
| rrecsys: an R-package for prototyping recommendation algorithms L Çoba, M Zanker | 9 | 2016 |
| Replicating and improving Top-N recommendations in open source packages L Coba, P Symeonidis, M Zanker Proceedings of the 8th International Conference on Web Intelligence, Mining …, 2018 | 7 | 2018 |
| Novelty-aware matrix factorization based on items’ popularity L Coba, P Symeonidis, M Zanker AI* IA 2018–Advances in Artificial Intelligence: XVIIth International …, 2018 | 7 | 2018 |
| Decision Making Based on Bimodal Rating Summary Statistics-An Eye-Tracking Study of Hotels L Coba, M Zanker, L Rook Information and Communication Technologies in Tourism 2019: Proceedings of …, 2019 | 6 | 2019 |
| Exploring users' perception of rating summary statistics L Coba, M Zanker, L Rook, P Symeonidis Proceedings of the 26th Conference on User Modeling, Adaptation and …, 2018 | 6 | 2018 |
| Visual analysis of recommendation performance L Çoba, P Symeonidis, M Zanker Proceedings of the Eleventh ACM Conference on Recommender Systems, 362-363, 2017 | 6 | 2017 |
| A Historical Perspective of Explainable Artificial Intelligence. WIREs Data Mining and Knowledge Discovery 11, 1 (2021), e1391 R Confalonieri, L Coba, B Wagner, TR Besold | 5 | 2021 |
| Decision making of maximizers and satisficers based on collaborative explanations L Coba, M Zanker, L Rook, P Symeonidis arXiv preprint arXiv:1805.11537, 2018 | 5 | 2018 |
| A historical perspective of explainable artificial intelligence. WIREs Data Min. Knowl. Discov. 11 (1), e1391 (2021) R Confalonieri, L Coba, B Wagner, TR Besold | 5 | |
| Reproducing and Prototyping Recommender Systems in R. L Coba, P Symeonidis, M Zanker IIR, 84-91, 2017 | 3 | 2017 |
| A historical perspective of explainable Artificial Intelligence. WIREs Data Mining Knowl. Discov. 11, 1 (2021) R Confalonieri, L Coba, B Wagner, TR Besold | 2 | 2021 |
Markus ZankerFree University of Bolzano-Bozen, Italy; University of Klagenfurt, AustriaVerified email at unibz.it
