Dominik Kowald
Dominik Kowald
Post-doctoral researcher @ Know-Center
Bestätigte E-Mail-Adresse bei know-center.at - Startseite
TitelZitiert vonJahr
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
382013
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
272014
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
272014
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
232017
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 Science 2 (1), 1-16, 2016
202016
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
202013
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
192015
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
172014
The social semantic server a framework to provide services on social semantic network data
D Kowald, S Dennerlein, D Theiler, S Walk, C Trattner
172013
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
162013
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
162013
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
152014
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
132016
TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms
C Trattner, D Kowald, E Lacic
ACM SIGWEB Newsletter, 3, 2015
132015
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
122016
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
122015
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
102017
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
102016
Scar: Towards a real-time recommender framework following the microservices architecture
E Lacic, M Traub, D Kowald, E Lex
Proc. of LSRS 15, 2015
102015
Socrecm: A scalable social recommender engine for online marketplaces
E Lacic, D Kowald, C Trattner
arXiv preprint arXiv:1405.1842, 2014
72014
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