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Dominik Kowald
Dominik Kowald
Research Area Manager - Social Computing @ Know-Center GmbH
Verified email at know-center.at - Homepage
Title
Cited by
Cited by
Year
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
592017
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
522020
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
492013
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
332016
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
312014
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
302016
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
292014
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
262016
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
252018
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
252015
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
242017
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, 55-74, 2013
242013
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, 75-95, 2013
222013
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
212016
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
202015
Recommending items in social tagging systems using tag and time information
E Lacic, D Kowald, P Seitlinger, C Trattner, D Parra
arXiv preprint arXiv:1406.7727, 2014
202014
Towards a scalable social recommender engine for online marketplaces: The case of apache solr
E Lacic, D Kowald, D Parra, M Kahr, C Trattner
Proceedings of the 23rd International Conference on World Wide Web, 817-822, 2014
202014
Utilizing online social network and location-based data to recommend products and categories in online marketplaces
E Lacic, D Kowald, L Eberhard, C Trattner, D Parra, LB Marinho
Mining, Modeling, and Recommending'Things' in Social Media, 96-115, 2013
202013
The social semantic server: A framework to provide services on social semantic network data
D Kowald, S Dennerlein, D Theiler, S Walk, C Trattner
9th International Conference on Semantic Systems, I-SEMANTICS 2013, 50-54, 2013
202013
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
182015
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