Peter Müllner

According to our database, Peter Müllner authored at least 18 papers between 2012 and 2026.

Collaborative distances:

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

2026

Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations.

Peter Müllner, Dominik Kowald, Markus Schedl, Elisabeth Lex

Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems.

Andrea Forster, Peter Müllner, Denis Helic, Elisabeth Lex, Dominik Kowald

Proceedings of the Joint Proceedings of the ACM UMAP 2026 Workshops co-located with the 34th ACM Conference on User Modeling, 2026

2025

Multistakeholder fairness in tourism: what can algorithms learn from tourism management?

Peter Müllner, Anna Schreuer, Simone Kopeinik, Bernhard Wieser, Dominik Kowald

Frontiers Big Data, 2025

2024

LFM User Groups Implicit Feedback.

Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald

Dataset, June, 2024

Differential privacy in collaborative filtering recommender systems: a review.

Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald

Frontiers Big Data, 2024

Establishing and evaluating trustworthy AI: overview and research challenges.

Dominik Kowald, Sebastian Scher, Viktoria Pammer-Schindler, Peter Müllner, Kerstin Waxnegger, Lea Demelius, Angela Fessl, Maximilian Toller, Inti Gabriel Mendoza Estrada, Ilija Simic, Vedran Sabol, Andreas Trügler, Eduardo E. Veas, Roman Kern, Tomislav Nad, Simone Kopeinik

Frontiers Big Data, 2024

Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models.

Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, Markus Schedl

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias.

Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald

Proceedings of the Advances in Information Retrieval, 2024

AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments.

Tomislav Duricic, Peter Müllner, Nicole Weidinger, Neven A. M. ElSayed, Dominik Kowald, Eduardo E. Veas

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations.

Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald

ACM Trans. Intell. Syst. Technol., October, 2023

User Privacy in Recommender Systems.

Peter Müllner

Proceedings of the Advances in Information Retrieval, 2023

2022

ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations.

Peter Müllner, Markus Schedl, Elisabeth Lex, Dominik Kowald

CoRR, 2022

Innovation Farm - Innovative Technologien für die Landwirtschaft erlebbar machen.

Markus Gansberger, Christian Fasching, Christoph Berndl, Martin Hirt, Peter Müllner, Franz Handler

Proceedings of the 42. GIL-Jahrestagung, 2022

Towards employing recommender systems for supporting data and algorithm sharing.

Peter Müllner, Stefan Schmerda, Dieter Theiler, Stefanie N. Lindstaedt, Dominik Kowald

Proceedings of the 1st International Workshop on Data Economy, 2022

2021

Support the underground: characteristics of beyond-mainstream music listeners.

Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex

EPJ Data Sci., 2021

Position Paper on Simulating Privacy Dynamics in Recommender Systems.

Peter Müllner, Elisabeth Lex, Dominik Kowald

CoRR, 2021

Robustness of Meta Matrix Factorization Against Strict Privacy Constraints.

Peter Müllner, Dominik Kowald, Elisabeth Lex

Proceedings of the Advances in Information Retrieval, 2021

2012

Application of image processing to track twin boundary motion in magnetic shape memory alloys.

Adrian Rothenbuhler, Elisa H. Barney Smith, Peter Müllner

Proceedings of the Image Processing: Machine Vision Applications V, 2012