Ludovik Coba

According to our database, Ludovik Coba authored at least 22 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Towards a Technical Debt for Recommender System.

Sergio Moreschini, Ludovik Coba, Valentina Lenarduzzi

CoRR, 2023

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

Aleix Ruiz de Villa, Gabriele Sottocornola, Ludovik Coba, Giovanni Maffei, Federico Lucchesi, João Guerreiro, Bartlomiej Skorulski

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

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

Jianjun Yuan, Wei Lee Woon, Ludovik Coba

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

2022

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

Ludovik Coba, Roberto Confalonieri, Markus Zanker

IEEE Comput. Intell. Mag., 2022

2021

A historical perspective of explainable Artificial Intelligence.

Roberto Confalonieri, Ludovik Coba, Benedikt Wagner, Tarek R. Besold

WIREs Data Mining Knowl. Discov., 2021

WebTour 2021 Workshop on Web Tourism.

Tsvi Kuflik, Catalin-Mihai Barbu, Amra Delic, Dmitri Goldenberg, Julia Neidhardt, Ludovik Coba, Markus Zanker

Proceedings of the WSDM '21, 2021

2020

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

Ludovik Coba, Laurens Rook, Markus Zanker

J. Inf. Technol. Tour., 2020

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

Panagiotis Symeonidis, Andrea Janes, Dmitry Chaltsev, Philip Giuliani, Daniel Morandini, Andreas Unterhuber, Ludovik Coba, Markus Zanker

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

2019

Improving Time-Aware Recommendations in Open Source Packages.

Panagiotis Symeonidis, Ludovik Coba, Markus Zanker

Int. J. Artif. Intell. Tools, 2019

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

Panagiotis Symeonidis, Ludovik Coba, Markus Zanker

Intelligenza Artificiale, 2019

Personalised novel and explainable matrix factorisation.

Ludovik Coba, Panagiotis Symeonidis, Markus Zanker

Data Knowl. Eng., 2019

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

Ludovik Coba, Laurens Rook, Markus Zanker, Panagiotis Symeonidis

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.

Ludovik Coba, Markus Zanker, Laurens Rook

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

2018

Decision Making of Maximizers and Satisficers Based on Collaborative Explanations.

Ludovik Coba, Markus Zanker, Laurens Rook, Panagiotis Symeonidis

CoRR, 2018

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

Ludovik Coba, Panagiotis Symeonidis, Markus Zanker

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

Exploring Users' Perception of Collaborative Explanation Styles.

Ludovik Coba, Markus Zanker, Laurens Rook, Panagiotis Symeonidis

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

Exploring Users' Perception of Rating Summary Statistics.

Ludovik Coba, Markus Zanker, Laurens Rook, Panagiotis Symeonidis

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

Novelty-Aware Matrix Factorization Based on Items' Popularity.

Ludovik Coba, Panagiotis Symeonidis, Markus Zanker

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

2017

Visual Analysis of Recommendation Performance.

Ludovik Çoba, Panagiotis Symeonidis, Markus Zanker

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Reproducing and Prototyping Recommender Systems in R.

Ludovik Çoba, Panagiotis Symeonidis, Markus Zanker

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.

Ludovik Çoba, Markus Zanker

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

2016

rrecsys: An R-package for Prototyping Recommendation Algorithms.

Ludovik Çoba, Markus Zanker

Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016