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Peter Müllner
Peter Müllner
Know-Center Gmbh
Verified email at know-center.at
Title
Cited by
Cited by
Year
Support the underground: characteristics of beyond-mainstream music listeners
D Kowald, P Muellner, E Zangerle, C Bauer, M Schedl, E Lex
EPJ Data Science 10 (1), 14, 2021
622021
Establishing and evaluating trustworthy AI: overview and research challenges
D Kowald, S Scher, V Pammer-Schindler, P Müllner, K Waxnegger, ...
Frontiers in Big Data 7, 1467222, 2024
412024
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations
Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
ACM Transactions on Intelligent Systems and Technology 14 (5), 1-29, 2023
312023
Differential Privacy in Collaborative Filtering Recommender Systems: A Review
P Müllner, E Lex, M Schedl, D Kowald
Frontiers in Big Data 6, 1249997, 2023
302023
Robustness of meta matrix factorization against strict privacy constraints
P Muellner, D Kowald, E Lex
European Conference on Information Retrieval, 107-119, 2021
272021
The impact of differential privacy on recommendation accuracy and popularity bias
P Müllner, E Lex, M Schedl, D Kowald
European Conference on Information Retrieval, 466-482, 2024
222024
Making alice appear like bob: A probabilistic preference obfuscation method for implicit feedback recommendation models
G Escobedo, M Moscati, P Muellner, S Kopeinik, D Kowald, E Lex, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024
82024
AI-Powered immersive assistance for interactive task execution in industrial environments
T Duricic, P MÞllner, N Weidinger, N ElSayed, D Kowald, E Veas
arXiv preprint arXiv:2407.09147, 2024
82024
Towards employing recommender systems for supporting data and algorithm sharing
P Müllner, S Schmerda, D Theiler, S Lindstaedt, D Kowald
Proceedings of the 1st International Workshop on Data Economy, 8-14, 2022
62022
User privacy in recommender systems
P Müllner
European Conference on Information Retrieval, 456-461, 2023
52023
Studying non-mainstream music listening behavior for fair music recommendations
P Müllner
Ph. D. Dissertation. Graz University of Technology, 2019
22019
Multistakeholder fairness in tourism: what can algorithms learn from tourism management?
P Müllner, A Schreuer, S Kopeinik, B Wieser, D Kowald
Frontiers in big Data 8, 1632766, 2025
12025
Position paper on simulating privacy dynamics in recommender systems
P Müllner, E Lex, D Kowald
arXiv preprint arXiv:2109.06473, 2021
12021
ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations
P Müllner, M Schedl, E Lex, D Kowald
arXiv preprint arXiv:2206.11561, 2022
2022
D3. 13 Profiles and Brokerage II
D Kowald, D Theiler, P Müllner, E Lacic
Nature 31, 12, 2022
2022
D3. 12 Profiles and Brokerage
D Kowald, D Theiler, P Müllner, S Schmerda
Nature 30, 06, 2021
2021
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