Ludovik Coba

Proceedings of the 7th ACM/IEEE International Conference on Technical Debt, 2024

2023

Towards a Technical Debt for Recommender System.

[BibT_eX]

[DOI]

Sergio Moreschini

Valentina Lenarduzzi

CoRR, 2023

Leveraging Causal Inference to Measure the Impact of a Mental Health App on Users' Well-being.

[BibT_eX]

[DOI]

Aleix Ruiz de Villa

Gabriele Sottocornola

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

Adversarial Sleeping Bandit Problems with Multiple Plays: Algorithm and Ranking Application.

[BibT_eX]

[DOI]

Jianjun Yuan

Wei Lee Woon

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

RecoXplainer: A Library for Development and Offline Evaluation of Explainable Recommender Systems.

[BibT_eX]

[DOI]

Roberto Confalonieri

IEEE Comput. Intell. Mag., 2022

2021

A historical perspective of explainable Artificial Intelligence.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2021

WebTour 2021 Workshop on Web Tourism.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

2020

Choosing between hotels: impact of bimodal rating summary statistics and maximizing behavioral tendency.

[BibT_eX]

[DOI]

J. Inf. Technol. Tour., 2020

Recommending the Video to Watch Next: An Offline and Online Evaluation at YOUTV.de.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

Improving Time-Aware Recommendations in Open Source Packages.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2019

Counteracting the filter bubble in recommender systems: Novelty-aware matrix factorization.

[BibT_eX]

[DOI]

Intelligenza Artificiale, 2019

Personalised novel and explainable matrix factorisation.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2019

Decision making strategies differ in the presence of collaborative explanations: two conjoint studies.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Information and Communication Technologies in Tourism 2019, 2019

2018

Decision Making of Maximizers and Satisficers Based on Collaborative Explanations.

[BibT_eX]

[DOI]

CoRR, 2018

Replicating and Improving Top-N Recommendations in Open Source Packages.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

Exploring Users' Perception of Collaborative Explanation Styles.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE Conference on Business Informatics, 2018

Exploring Users' Perception of Rating Summary Statistics.

[BibT_eX]

[DOI]

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Novelty-Aware Matrix Factorization Based on Items' Popularity.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018

2017

Visual Analysis of Recommendation Performance.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Reproducing and Prototyping Recommender Systems in R.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

2016

rrecsys: An R-package for Prototyping Recommendation Algorithms.

[BibT_eX]

[DOI]