| The unfairness of popularity bias in music recommendation: A reproducibility study D Kowald, M Schedl, E Lex European conference on information retrieval, 35-42, 2020 | 223 | 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 | 96 | 2017 |
| 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 | 92 | 2021 |
| 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 | 92 | 2021 |
| Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers H Semmelrock, T Ross-Hellauer, S Kopeinik, D Theiler, A Haberl, ... AI Magazine, 2025 | 68 | 2025 |
| Take the aTrain. Introducing an interface for the Accessible Transcription of Interviews A Haberl, J Fleiß, D Kowald, S Thalmann Journal of Behavioral and Experimental Finance 41, 100891, 2024 | 68 | 2024 |
| 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 | 61 | 2021 |
| 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 | 55 | 2016 |
| 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 |
| Reproducibility in machine learning-driven research H Semmelrock, S Kopeinik, D Theiler, T Ross-Hellauer, D Kowald arXiv preprint arXiv:2307.10320, 2023 | 46 | 2023 |
| 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 | 45 | 2018 |
| Popularity bias in collaborative filtering-based multimedia recommender systems D Kowald, E Lacic International Workshop on Algorithmic Bias in Search and Recommendation, 1-11, 2022 | 44 | 2022 |
| Establishing and evaluating trustworthy AI: overview and research challenges D Kowald, S Scher, V Pammer-Schindler, P Müllner, K Waxnegger, ... Frontiers in Big Data 7, 1467222, 2024 | 42 | 2024 |
| 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 | 42 | 2021 |
| Using autoencoders for session-based job recommendations. E Lacic, M Reiter-Haas, D Kowald, M Reddy Dareddy, J Cho, E Lex User Modeling & User-Adapted Interaction 30 (4), 2020 | 41 | 2020 |
| Modeling popularity and temporal drift of music genre preferences E Lex, D Kowald, M Schedl Transactions of the International Society for Music Information Retrieval 3 (1), 2020 | 41 | 2020 |
| Which algorithms suit which learning environments? A comparative study of recommender systems in TEL S Kopeinik, D Kowald, E Lex European conference on technology enhanced learning, 124-138, 2016 | 35 | 2016 |
| 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 | 34 | 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 | 33 | 2016 |
| 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 |
Elisabeth LexFull Prof. at Graz University of TechnologyVerified email at tugraz.at
