Dominik Kowald
Dominik Kowald
Post-doctoral researcher @ Know-Center
Bestätigte E-Mail-Adresse bei know-center.at - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
442013
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
372017
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
222015
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
222013
Modeling activation processes in human memory to predict the reuse of tags
C Trattner, D Kowald, P Seitlinger, S Kopeinik, T Ley
The Journal of Web Science 2, 2016
212016
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
192016
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
182016
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
182013
The social semantic server a framework to provide services on social semantic network data
D Kowald, S Dennerlein, D Theiler, S Walk, C Trattner
182013
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
172015
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
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
172014
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
172013
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
162016
TagRec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms
C Trattner, D Kowald, E Lacic
ACM SIGWEB Newsletter, 1-10, 2015
152015
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
142017
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
112018
Scar: Towards a real-time recommender framework following the microservices architecture
E Lacic, M Traub, D Kowald, E Lex
Proc. of LSRS 15, 2015
112015
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