Dominik Kowald

Cited by

	All	Since 2019
Citations	1487	1081
h-index	26	17
i10-index	48	30

280

140

210

2014201520162017201820192020202120222023202427 55 64 82 118 103 95 150 198 254 280

Public access

View all

35 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Elisabeth LexProf. at Graz University of TechnologyVerified email at tugraz.at
Emanuel LacicPrincipal Engineer @ InfobipVerified email at infobip.com
Markus SchedlProfessor at Johannes Kepler University Linz, Institute of Computational PerceptionVerified email at jku.at
Christoph TrattnerProfessor Data Science & Recommender Systems // Director of MediaFutures @ University of BergenVerified email at uib.no
Simone KopeinikKnow-Center, GrazVerified email at tugraz.at
Tobias LeyProfessor, Danube University Krems, AustriaVerified email at donau-uni.ac.at
Dieter TheilerGraz University of Technology, Know-Center GmbHVerified email at tugraz.at
Peter MüllnerKnow-Center GmbhVerified email at know-center.at
Sebastian Maximilian DennerleinAssistent Professor, University of TwenteVerified email at utwente.nl
Tomislav ĐuričićUniversity Assistant, Know-Center and Graz University of TechnologyVerified email at tugraz.at
Denis ParraPontificia Universidad Católica de ChileVerified email at ing.puc.cl
Markus Reiter-HaasPostDoc @ Duke UniversityVerified email at duke.edu
Stefan ThalmannUniversity of GrazVerified email at uni-graz.at
Christine BauerParis Lodron University SalzburgVerified email at plus.ac.at
Dietrich AlbertGraz University of Technology, University of GrazVerified email at uni-graz.at
Stefanie LindstaedtFounding President Institute of Digital Sciences AustriaVerified email at idsa.io
Oleg LesotaPhD Student, Johannes Kepler University Linz AustriaVerified email at jku.at
Tony Ross-HellauerOpen and Reproducible Research Group, Institute for Interactive Systems and Data Science, TU GrazVerified email at tugraz.at
Subhash Chandra PujariBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Leon FadljevicKnow-Center GmbHVerified email at know-center.at

Dominik Kowald

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

Verified email at tugraz.at - Homepage

Recommender Systems User Modeling Personalization Trustworthy AI Algorithmic Bias


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	159	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	84	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	66	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	61	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	43	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	41	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	36	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
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 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	30	2020
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
Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems. E Lacic, D Kowald, M Traub, G Luzhnica, J Simon, E Lex RecSys Posters, 2015	28	2015

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors