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Dominik Kowald

Showing results (1-10 of 9) with videos related to

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Frontiers in Big Data|April 17, 2024
Editorial: Reviews in recommender systems: 2022Dominik Kowald, Deqing Yang, Emanuel Lacic
Frontiers in Big Data|October 30, 2023
Differential privacy in collaborative filtering recommender systems: a reviewPeter Müllner, Elisabeth Lex, Markus Schedl, et al.
Scientific Reports|January 31, 2023
Modelling the long-term fairness dynamics of data-driven targeted help on job seekersSebastian Scher, Simone Kopeinik, Andreas Trügler, et al.
Frontiers in Big Data|January 4, 2024
Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networksTomislav Duricic, Dominik Kowald, Emanuel Lacic, et al.
Computational Social Networks|February 9, 2018
Consensus dynamics in online collaboration systemsIlire Hasani-Mavriqi, Dominik Kowald, Denis Helic, et al.
Frontiers in Artificial Intelligence|March 29, 2021
Listener Modeling and Context-Aware Music Recommendation Based on Country ArchetypesMarkus Schedl, Christine Bauer, Wolfgang Reisinger, et al.
Frontiers in Big Data|October 6, 2025
Multistakeholder fairness in tourism: what can algorithms learn from tourism management?Peter Müllner, Anna Schreuer, Simone Kopeinik, et al.
EPJ Data Science|November 1, 2021
Support the underground: characteristics of beyond-mainstream music listenersDominik Kowald, Peter Muellner, Eva Zangerle, et al.
Frontiers in Big Data|December 16, 2024
Establishing and evaluating trustworthy AI: overview and research challengesDominik Kowald, Sebastian Scher, Viktoria Pammer-Schindler, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Big Data|April 17, 2024
Editorial: Reviews in recommender systems: 2022Dominik Kowald, Deqing Yang, Emanuel Lacic
Frontiers in Big Data|October 30, 2023
Differential privacy in collaborative filtering recommender systems: a reviewPeter Müllner, Elisabeth Lex, Markus Schedl, et al.
Scientific Reports|January 31, 2023
Modelling the long-term fairness dynamics of data-driven targeted help on job seekersSebastian Scher, Simone Kopeinik, Andreas Trügler, et al.
Frontiers in Big Data|January 4, 2024
Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networksTomislav Duricic, Dominik Kowald, Emanuel Lacic, et al.
Computational Social Networks|February 9, 2018
Consensus dynamics in online collaboration systemsIlire Hasani-Mavriqi, Dominik Kowald, Denis Helic, et al.
Frontiers in Artificial Intelligence|March 29, 2021
Listener Modeling and Context-Aware Music Recommendation Based on Country ArchetypesMarkus Schedl, Christine Bauer, Wolfgang Reisinger, et al.
Frontiers in Big Data|October 6, 2025
Multistakeholder fairness in tourism: what can algorithms learn from tourism management?Peter Müllner, Anna Schreuer, Simone Kopeinik, et al.
EPJ Data Science|November 1, 2021
Support the underground: characteristics of beyond-mainstream music listenersDominik Kowald, Peter Muellner, Eva Zangerle, et al.
Frontiers in Big Data|December 16, 2024
Establishing and evaluating trustworthy AI: overview and research challengesDominik Kowald, Sebastian Scher, Viktoria Pammer-Schindler, et al.
Pageof 1