Emanuel Lacic
Emanuel Lacic
Know-Center
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TitelZitiert vonJahr
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
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
162014
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
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
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
112016
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
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
72015
Socrecm: A scalable social recommender engine for online marketplaces
E Lacic, D Kowald, C Trattner
arXiv preprint arXiv:1405.1842, 2014
72014
The social semantic server: a flexible framework to support informal learning at the workplace
S Dennerlein, D Kowald, E Lex, D Theiler, E Lacic, T Ley
Proceedings of the 15th International Conference on Knowledge Technologies …, 2015
62015
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
52018
LIM app: Reflecting on audience feedback for improving presentation skills
V Rivera-Pelayo, E Lacić, V Zacharias, R Studer
European Conference on Technology Enhanced Learning, 514-519, 2013
42013
Smart booking without looking: Providing hotel recommendations in the triprebel portal
M Traub, D Kowald, E Lacic, P Schoen, G Supp, E Lex
Proceedings of the 15th International Conference on Knowledge Technologies …, 2015
32015
Beyond accuracy optimization: On the value of item embeddings for student job recommendations
E Lacic, D Kowald, M Reiter-Haas, V Slawicek, E Lex
arXiv preprint arXiv:1711.07762, 2017
22017
Tailoring Recommendations for a Multi-Domain Environment.
E Lacic, D Kowald, E Lex
RecSysKTL, 42-45, 2017
22017
Real-Time Recommendations in a Multi-Domain Environment.
E Lacic
HT (Extended Proceedings), 2016
22016
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations
E Lacic, D Kowald, E Lex
arXiv preprint arXiv:1808.06417, 2018
12018
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric
E Lacic, D Kowald, D Theiler, M Traub, L Kuffer, S Lindstaedt, E Lex
arXiv preprint arXiv:1908.04042, 2019
2019
Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations
M Reiter-Haas, E Lacic, T Duricic, V Slawicek, E Lex
arXiv preprint arXiv:1907.06556, 2019
2019
Exploiting weak ties in trust-based recommender systems using regular equivalence
T Duricic, E Lacic, D Kowald, E Lex
arXiv preprint arXiv:1907.11620, 2019
2019
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