Publications
Hanbury, A. (2019) Data Market Austria / Data Intelligence Offensive, German Ministry of Economics and Energy (Member of the Austrian Delegation), Berlin, Germany.
Kanellos, I., Vergoulis, T., Sacharidis, D., Dalamagas, T. (2019) Impact-Based Ranking of Scientific Publications: A Survey and Experimental Evaluation, IEEE Transactions on Knowledge and Data Engineering, 8-14.
Sertkan, M., Neidhardt, J., Werthner, H. (2019) Von Reisezielmerkmalen zur Reisezielpersönlichkeit, Tourismuswissen - quarterly, April-.
Müller, H., Hanbury, A. (2019) EaaS: Evaluation-as-a-Service and Experiences from the VISCERAL Project., Springer, Information Retrieval Evaluation in a Changing World.
Sertkan, M., Neidhardt, J., Werthner, H. (2019) Documents, Topics, and Authors: Text Mining of Online News., Proceedings of 21st IEEE International Conference on Business Informatics (CBI).
Zlabinger, M. (2019) Efficient and Effective Text-Annotation through Active Learning, Association for Computing Machinery, SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval.
Aral, A., De Maio, V., Brandić, I. (2019) Cloud-Based Federated Learning For Environmental Data, CHIST-ERA Conference 2019, Tallinn, Estonia.
Hanbury, A. (2019) Data Market Austria: Anforderungsanalyse und Entwicklungsherausforderungen, Data Market Austria Closing Conference, Wien.
Sacharidis, D. (2019) Diversity and Novelty in Social-Based Collaborative Filtering, UMAP '19: Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization.
Zlabinger, M. (2019) Improving the Annotation Efficiency and Effectiveness in the Text Domain, Springer, Cham, Advances in Information Retrieval 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I.
Hanbury, A. (2019) Datengetriebene Innovation zwischen Forschung & Wirtschaft: Kooperative Projekte, Spin-offs, Crowd-Solving, Second Austrian Data Governance Conference, Vienna.
Akhtar, M., Neidhardt, J., Werthner, H. (2019) The Potential of Chatbots: Analysis of Chatbot Conversations., Proceedings of 21st IEEE International Conference on Business Informatics (CBI).
Sertkan, M., Neidhardt, J., Werthner, H. (2019) From Pictures to Touristic Profiles: A Deep-Learning Based Approach, ProceedingsDSRS-Turing´19..
Sertkan, M. (2019) Classifying and Mapping eTourism Datasets, Pre-Conference Workshop (PhD) of ENTER 2019 The 26th Annual eTourism Conference, Nicosia, Cyprus.
Bašić, F., Aral, A., Brandić, I. (2019) Fuzzy Handoff Control in Edge Offloading., IEEE, Proceedings of the IEEE International Conference on Fog Computing (ICFC 2019).
Sacharidis, D. (2019) Modeling Uncertainty in Group Recommendations, UMAP'19 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization.
Zlabinger, M., Rekabsaz, N., Zlabinger, S., Hanbury, A. (2019) Efficient Answer-Annotation for Frequent Questions, Springer, Experimental IR Meets Multilinguality, Multimodality, and Interaction.10th International Conference of the CLEF Association, CLEF 2019 Lugano, Switzerland, September 9-12, 2019. Proceedings..
Bouros, P., Dasu, T., Kanza, Y., Renz, M. (2019) Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising (LocalRec 2019), ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Chicago, IL, USA, ACM, .
De Maio, V., Uriarte, R., Brandić, I. (2019) Energy and Profit-Aware Proof-of-Stake Offloading in Blockchain-based VANETs, UCC'19: Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing.
Sacharidis, D. (2019) Top-N group recommendations with fairness, SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing.
Heiler, G. (2019) Overview of the recent history of data processing. From the simplest datababse via RDBMS to NOSQL., Faculty talk, University Islam Indonesia, Indonesia.
Aral, A., Brandić, I., Uriarte, R., de Nicola, R. (2019) Addressing Application Latency Requirements through Edge Scheduling, Journal of Grid Computing, 17-4.
Seyfang, L., Neidhardt, J. (2019) A Framework for Recommender Systems Based on a Finite Multidimensional Model Space., Proceedings of the ACM Workshop of Recommenders in Tourism (RecTour) 2019.
Mukamakuza, C., Sacharidis, D., Werthner, H. (2019) The Role of Activity and Similarity in Rating and Social Behavior in Social Recommender Systems., International Journal on Artificial Intelligence Tools, 28-6-1960004.
Piroi, F., Hanbury, A. (2019) Multilingual Patent Text Retrieval Evaluation: CLEF-IP, Springer, Information Retrieval Evaluation in a Changing World.
Neidhardt, J., Wörndl, W., Kuflik, T., Zanker, M. (2019) RecTour 2019: workshop on recommenders in tourism, ACM Digital Library, RecSys '19: Proceedings of the 13th ACM Conference on Recommender Systems.
Dorn, J. (2019) Managing Experience in Business Process Management, 10th Conference Professional Knowledge Management, 
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Neidhardt, J. (2019) It's happening, so what?, Menschen und Maschinen. Visionen unserer digitalen Zukunft, TU Wien, Wien.