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Christoph Trattner
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Publications
- 2024
- [j35]Nicholas Diakopoulos, Christoph Trattner, Dietmar Jannach, Irene Costera Meijer, Enrico Motta:
Leveraging Professional Ethics for Responsible AI. Commun. ACM 67(2): 19-21 (2024) - 2023
- [j30]Veronika Bogina, Tsvi Kuflik, Dietmar Jannach, Mária Bieliková, Michal Kompan, Christoph Trattner:
Considering temporal aspects in recommender systems: a survey. User Model. User Adapt. Interact. 33(1): 81-119 (2023) - [c83]Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Lars Skjærven, Astrid Tessem, Christoph Trattner:
Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study. RecSys 2023: 1084-1089 - [i14]Anastasiia Klimashevskaia, Dietmar Jannach, Mehdi Elahi, Christoph Trattner:
A Survey on Popularity Bias in Recommender Systems. CoRR abs/2308.01118 (2023) - 2022
- [j29]Mehdi Elahi, Dietmar Jannach, Lars Skjærven, Erik Knudsen, Helle Sjøvaag, Kristian Tolonen, Øyvind Holmstad, Igor Pipkin, Eivind Throndsen, Agnes Stenbom, Eivind Fiskerud, Adrian Oesch, Loek Vredenberg, Christoph Trattner:
Towards responsible media recommendation. AI Ethics 2(1): 103-114 (2022) - [j28]Christoph Trattner, Dietmar Jannach, Enrico Motta, Irene Costera Meijer, Nicholas Diakopoulos, Mehdi Elahi, Andreas L. Opdahl, Bjørnar Tessem, Njål Borch, Morten Fjeld, Lilja Øvrelid, Koenraad De Smedt, Hallvard Moe:
Responsible media technology and AI: challenges and research directions. AI Ethics 2(4): 585-594 (2022) - [c80]Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Christoph Trattner, Lars Skjærven:
Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches. BIAS 2022: 82-90 - 2021
- [c68]Dietmar Jannach, Mathias Jesse, Michael Jugovac, Christoph Trattner:
Exploring Multi-List User Interfaces for Similar-Item Recommendations. UMAP 2021: 224-228 - 2020
- [j20]Christoph Trattner, Dietmar Jannach:
Learning to recommend similar items from human judgments. User Model. User Adapt. Interact. 30(1): 1-49 (2020)
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