Dominik Kowald

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Elisabeth LexProf. at Graz University of TechnologyDirección de correo verificada de tugraz.at
Emanuel LacicPrincipal Engineer @ InfobipDirección de correo verificada de infobip.com
Markus SchedlProfessor at Johannes Kepler University Linz, Institute of Computational PerceptionDirección de correo verificada de jku.at
Christoph TrattnerProfessor Responsible AI // Director of MediaFutures @ University of BergenDirección de correo verificada de uib.no
Simone KopeinikKnow-Center, GrazDirección de correo verificada de tugraz.at
Tobias LeyProfessor, Danube University Krems, AustriaDirección de correo verificada de donau-uni.ac.at
Dieter TheilerGraz University of Technology, Know-Center GmbHDirección de correo verificada de tugraz.at
Peter MüllnerKnow-Center GmbhDirección de correo verificada de know-center.at
Sebastian Maximilian DennerleinAssistent Professor, University of TwenteDirección de correo verificada de utwente.nl
Tomislav ĐuričićUniversity Assistant, Know-Center and Graz University of TechnologyDirección de correo verificada de tugraz.at
Denis ParraPontificia Universidad Católica de ChileDirección de correo verificada de ing.puc.cl
Markus Reiter-HaasPostDoc @ Duke UniversityDirección de correo verificada de duke.edu
Stefan ThalmannUniversity of GrazDirección de correo verificada de uni-graz.at
Stefanie LindstaedtFounding President Institute of Digital Sciences AustriaDirección de correo verificada de idsa.io
Christine BauerParis Lodron University SalzburgDirección de correo verificada de plus.ac.at
Dietrich AlbertGraz University of Technology, University of GrazDirección de correo verificada de uni-graz.at
Tony Ross-HellauerOpen and Reproducible Research Group, Institute for Interactive Systems and Data Science, TU GrazDirección de correo verificada de tugraz.at
Oleg LesotaPhD Student, Johannes Kepler University Linz AustriaDirección de correo verificada de jku.at
Viktoria Pammer-SchindlerAssociate Professor, Graz University of TechnologyDirección de correo verificada de tugraz.at
Subhash Chandra PujariResearch Engineer at Bosch Center for Artificial IntelligenceDirección de correo verificada de de.bosch.com

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Dominik Kowald

Research Area Manager, FAIR-AI, Know-Center, Graz University of Technology

Dirección de correo verificada de tugraz.at - Página principal

Recommender Systems User Modeling Personalization Trustworthy AI Algorithmic Bias


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
The unfairness of popularity bias in music recommendation: A reproducibility study D Kowald, M Schedl, E Lex Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020	174	2020
Temporal effects on hashtag reuse in twitter: A cognitive-inspired hashtag recommendation approach D Kowald, SC Pujari, E Lex Proceedings of the 26th International Conference on World Wide Web, 1401-1410, 2017	86	2017
Psychology-informed recommender systems E Lex, D Kowald, P Seitlinger, TNT Tran, A Felfernig, M Schedl Foundations and trends® in information retrieval 15 (2), 134-242, 2021	77	2021
Analyzing item popularity bias of music recommender systems: are different genders equally affected? O Lesota, A Melchiorre, N Rekabsaz, S Brandl, D Kowald, E Lex, ... Proceedings of the 15th ACM conference on recommender systems, 601-606, 2021	70	2021
Recommending tags with a model of human categorization P Seitlinger, D Kowald, C Trattner, T Ley Proceedings of the 22nd ACM international conference on Information …, 2013	50	2013
High Enough? explaining and predicting traveler Satisfaction using airline reviews E Lacic, D Kowald, E Lex Proceedings of the 27th ACM Conference on Hypertext and Social Media, 249-254, 2016	49	2016
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	47	2021
Trust-based collaborative filtering: Tackling the cold start problem using regular equivalence T Duricic, E Lacic, D Kowald, E Lex Proceedings of the 12th ACM conference on recommender systems, 446-450, 2018	42	2018
Listener modeling and context-aware music recommendation based on country archetypes M Schedl, C Bauer, W Reisinger, D Kowald, E Lex Frontiers in Artificial Intelligence 3, 508725, 2021	37	2021
Long time no see: The probability of reusing tags as a function of frequency and recency D Kowald, P Seitlinger, C Trattner, T Ley Proceedings of the 23rd international conference on world wide web, 463-468, 2014	33	2014
The tagrec framework as a toolkit for the development of tag-based recommender systems D Kowald, S Kopeinik, E Lex Adjunct publication of the 25th conference on user modeling, adaptation and …, 2017	32	2017
The influence of frequency, recency and semantic context on the reuse of tags in social tagging systems D Kowald, E Lex Proceedings of the 27th ACM Conference on Hypertext and Social Media, 237-242, 2016	32	2016
Which algorithms suit which learning environments? A comparative study of recommender systems in TEL S Kopeinik, D Kowald, E Lex Adaptive and Adaptable Learning: 11th European Conference on Technology …, 2016	32	2016
Modeling Popularity and Temporal Drift of Music Genre Preferences. E Lex, D Kowald, M Schedl Trans. Int. Soc. Music. Inf. Retr. 3 (1), 17-30, 2020	31	2020
Tagrec: Towards a standardized tag recommender benchmarking framework D Kowald, E Lacic, C Trattner Proceedings of the 25th ACM conference on Hypertext and social media, 305-307, 2014	31	2014
Modeling Activation Processes in Human Memory to Predict the Use of Tags in Social Bookmarking Systems. C Trattner, D Kowald, P Seitlinger, T Ley, S Kopeinik J. Web Sci. 2 (1), 1-16, 2016	30	2016
Attention please! a hybrid resource recommender mimicking attention-interpretation dynamics P Seitlinger, D Kowald, S Kopeinik, I Hasani-Mavriqi, E Lex, T Ley Proceedings of the 24th International Conference on World Wide Web, 339-345, 2015	30	2015
Using autoencoders for session-based job recommendations E Lacic, M Reiter-Haas, D Kowald, M Reddy Dareddy, J Cho, E Lex User Modeling and User-Adapted Interaction 30, 617-658, 2020	29	2020
Evaluating tag recommender algorithms in real-world folksonomies: A comparative study D Kowald, E Lex Proceedings of the 9th ACM Conference on Recommender Systems, 265-268, 2015	29	2015
Refining frequency-based tag reuse predictions by means of time and semantic context D Kowald, S Kopeinik, P Seitlinger, T Ley, D Albert, C Trattner Mining, Modeling, and Recommending Things in Social Media: 4th International …, 2015	29	2015

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