2024
Ranking the causal impact of recommendations under collider bias in k-spots recommender systems.
Trans. Recomm. Syst., June, 2024
Towards a Technical Debt for AI-based Recommender System.
Proceedings of the 7th ACM/IEEE International Conference on Technical Debt, 2024
2023
Towards a Technical Debt for Recommender System.
CoRR, 2023
Leveraging Causal Inference to Measure the Impact of a Mental Health App on Users' Well-being.
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023
Adversarial Sleeping Bandit Problems with Multiple Plays: Algorithm and Ranking Application.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
2022
RecoXplainer: A Library for Development and Offline Evaluation of Explainable Recommender Systems.
IEEE Comput. Intell. Mag., 2022
2021
A historical perspective of explainable Artificial Intelligence.
WIREs Data Mining Knowl. Discov., 2021
WebTour 2021 Workshop on Web Tourism.
Proceedings of the WSDM '21, 2021
2020
Choosing between hotels: impact of bimodal rating summary statistics and maximizing behavioral tendency.
J. Inf. Technol. Tour., 2020
Recommending the Video to Watch Next: An Offline and Online Evaluation at YOUTV.de.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
2019
Improving Time-Aware Recommendations in Open Source Packages.
Int. J. Artif. Intell. Tools, 2019
Counteracting the filter bubble in recommender systems: Novelty-aware matrix factorization.
Intelligenza Artificiale, 2019
Personalised novel and explainable matrix factorisation.
Data Knowl. Eng., 2019
Decision making strategies differ in the presence of collaborative explanations: two conjoint studies.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019
Decision Making Based on Bimodal Rating Summary Statistics - An Eye-Tracking Study of Hotels.
Proceedings of the Information and Communication Technologies in Tourism 2019, 2019
2018
Decision Making of Maximizers and Satisficers Based on Collaborative Explanations.
CoRR, 2018
Replicating and Improving Top-N Recommendations in Open Source Packages.
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018
Exploring Users' Perception of Collaborative Explanation Styles.
Proceedings of the 20th IEEE Conference on Business Informatics, 2018
Exploring Users' Perception of Rating Summary Statistics.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018
Novelty-Aware Matrix Factorization Based on Items' Popularity.
Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018
2017
Visual Analysis of Recommendation Performance.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017
Reproducing and Prototyping Recommender Systems in R.
Proceedings of the 8th Italian Information Retrieval Workshop, 2017
Replication and Reproduction in Recommender Systems Research - Evidence from a Case-Study with the rrecsys Library.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
2016
rrecsys: An R-package for Prototyping Recommendation Algorithms.
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016