| 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 | 142 | 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 | 80 | 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 | 54 | 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 | 52 | 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 | 48 | 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 | 45 | 2016 |
| 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 | 38 | 2018 |
| 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 | 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 |
| 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 |
| 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 | 29 | 2021 |
| 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 | 29 | 2017 |
| 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 | 29 | 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 | 29 | 2014 |
| 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 | 28 | 2016 |
| 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 | 27 | 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 | 27 | 2015 |
| 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 | 26 | 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 …, 2015 | 26 | 2015 |
| Forgetting the words but remembering the meaning: Modeling forgetting in a verbal and semantic tag recommender D Kowald, P Seitlinger, S Kopeinik, T Ley, C Trattner Mining, Modeling, and Recommending'Things' in Social Media: 4th …, 2015 | 26 | 2015 |
Elisabeth LexProf. at Graz University of Technologytugraz.at의 이메일 확인됨
