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Dominik Kowald
Dominik Kowald
Research Area Manager - Social Computing @ Know-Center GmbH
Bestätigte E-Mail-Adresse bei know-center.at - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
652020
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
612017
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
482013
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
382016
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
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
302014
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
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
262015
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
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
252016
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
252013
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
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
222016
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
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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