Παρακολούθηση
Dominik Kowald
Dominik Kowald
Research Area Manager, FAIR-AI, Know-Center, Graz University of Technology
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα tugraz.at - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
1852020
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
862017
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
792021
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
762021
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
512016
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
502013
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
482021
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
422018
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
382021
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
332020
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
332020
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
332017
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
332014
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
322016
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
322016
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
312022
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
312014
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
302016
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
302015
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
292015
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