All Stories

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

    Article • January 2024, Springer Science + Business Media

    Peter Müllner

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

    Article • January 2024, Springer Science + Business Media

    Peter Müllner

  3. Differential privacy in collaborative filtering recommender systems: a review

    Article • Frontiers in Big Data, October 2023, Frontiers

    Peter Müllner

  4. Neighborhood Reuse for Differentially Private Recommendations

    Article • ACM Transactions on Intelligent Systems and Technology, July 2023, ACM (Association for Computing Machinery)

    Dominik Kowald, Peter Müllner

  5. User Privacy in Recommender Systems

    Article • January 2023, Springer Science + Business Media

    Peter Müllner

  6. Towards employing recommender systems for supporting data and algorithm sharing

    Article • December 2022, ACM (Association for Computing Machinery)

    Dominik Kowald, Peter Müllner

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

    Article • EPJ Data Science, March 2021, Springer Science + Business Media

    Christine Bauer, Peter Müllner

  8. Robustness of Meta Matrix Factorization Against Strict Privacy Constraints

    Article • January 2021, Springer Science + Business Media

    Peter Müllner