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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
372021
Robustness of meta matrix factorization against strict privacy constraints
P Muellner, D Kowald, E Lex
Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021
182021
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
62023
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
32022
Differential Privacy in Collaborative Filtering Recommender Systems: A Review
P Müllner, E Lex, M Schedl, D Kowald
Frontiers in Big Data 6, 1249997, 2023
12023
User Privacy in Recommender Systems
P Müllner
European Conference on Information Retrieval, 456-461, 2023
12023
Studying Non-Mainstream Music Listening Behavior For Fair Music Recommendations
P Müllner
Ph. D. Dissertation. Graz University of Technology, 2019
12019
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
2024
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
Position Paper on Simulating Privacy Dynamics in Recommender Systems
P Müllner, E Lex, D Kowald
arXiv preprint arXiv:2109.06473, 2021
2021
D3. 12 Profiles and Brokerage
D Kowald, D Theiler, P Müllner, S Schmerda
Nature 30, 06, 2021
2021
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