Publications
Aral, A., Brandić, I. (2018) Dependency Mining for Service Resilience at the Edge, IEEE, 2018 IEEE/ACM Symposium on Edge Computing (SEC).
Delic, A., Masthoff, J. (2018) Group Recommender Systems, UMAP '18 Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization.
Lujić, I., De Maio, V., Brandić, I. (2018) Adaptive Recovery of Incomplete Datasets for Edge Analytics, IEEE, 2nd IEEE International Conference on Fog and Edge Computing (ICFEC 2018).
Skoutas, D., Sacharidis, D., Patroumpas, K. (2018) Efficient Progressive and Diversified Top-k Best Region Search, SIGSPATIAL '18 Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems.
Brandić, I. (2018) Challenges in Runtime Management of Ultrascale Near Real-Time Applications, Mälardalens Högskola, Västerås, Sweden.
Aral, A., Ovatman, T. (2018) A Decentralized Replica Placement Algorithm for Edge Computing, IEEE Transactions on Network and Service Management, 15-2,
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Mukherjee, S., Huang, Y., Neidhardt, J., Uzzi, B. (2018) Prior shared success predicts victory in team competitions, Nature Human Behaviour, 3-,
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Delic, A., Masthoff, J., Neidhardt, J., Werthner, H. (2018) How to Use Social Relationships in Group Recommenders: Empirical Evidence, ACM New York, UMAP '18 Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization,
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Sacharidis, D., Mehta, P., Skoutas, D., Patroumpas, K. (2018) Selecting Representative and Diverse Spatio-Textual Posts over Sliding Windows, SSDBM '18 Proceedings of the 30th International Conference on Scientific and Statistical Database Management.
Pasi, G., Piwowarski, B., Azzopardi, L., Hanbury, A. (2018) Advances in Information Retrieval, Springer LNCS, .
Lipani, A., Roelleke, T., Lupu, M., Hanbury, A. (2018) A systematic approach to normalization in probabilistic models, Information Retrieval, 21-6.
Bauer, W., Dorn, J. (2018) Enhancing Electronic Markets for Industrial Services by Trust Features, Emerald Publishing, Trust in B-to-B contexts: antecedents, processes, and consequences.
Hanbury, A. (2018) Sentiment Analysis in Finance, VISS 2018 - Vienna International Summer School on Machine Learning Methods and Data Analytics in Risk and Insurance,, Wien.
Benouaret, K., Sacharidis, D., Benslimane, D., Hadjali, A. (2018) Selecting Services for Multiple Users: Let's Be Democratic, IEEE Transactions on Services Computing, early access-.
Glatzer, L., Neidhardt, J., Werthner, H. (2018) Automated Assignment of Hotel Descriptions to Travel Behavioural Patterns, Springer, Information and Communication Technologies in Tourism 2018,
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Mukamakuza, C., Sacharidis, D., Werthner, H. (2018) Mining User Behavior in Social Recommender System, ACM, WIMS '18 Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics.
Neidhardt, J. (2018) Social Influence and Opinion Forming in Online Social Networks., Complexity Science Hub, Wien,
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Palotti, J., Zuccon, G., Hanbury, A. (2018) A New Framework for Multidimensional Evaluation of Search Engines, ACM Digital Library, Proc. 27th ACM International Conference on Information and Knowledge Management (CIKM 2018).
Brandić, I. (2018) Facilitating Near real time analytics on the edge through staleness control, Faculty of Computer Science, University of Vienna, Wien.
Bhatti, N., Hanbury, A., Stöttinger, J. (2018) Contextual local primitives for binary patent image retrieval, Multimedia Tools and Applications, 77-7.
Neidhardt, J., Werthner, H. (2018) IT and tourism: still a hot topic, but do not forget IT., Information Technology & Tourism, 20-1-4,
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Scoca, V., Aral, A., Brandić, I., de Nicola, R. (2018) Scheduling Latency-Sensitive Applications in Edge Computing, Proceedings of the 8th International Conference on Cloud Computing and Services Science,
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Hanbury, A. (2018) Credibility of sources, content, and algorithms, Fake News and other AI Challenges for the News Media in the 21st Century, panel member for the discussion on "Solving Ethical & Technical Challenges of Fake News", Wien.
Tkalcic, M., Delic, A., Felfernig, A. (2018) Personality, Emotions, and Group Dynamics, Springer, Group Recommender Systems. An Introduction..
Zlabinger, M., Andersson, L., Hanbury, A., Andersson, M. (2018) Medical Entity Corpus with PICO elements and Sentiment Analysis, International Conference on Language Resources and Evaluation, LREC 2018, Eleventh International Conference on Language Resources and Evaluation.
Delic, A., Neidhardt, J., Werthner, H. (2018) Group Decision Making and Group Recommendations in Tourism Domain, IEEE, CBI 2018 - Proceedings of the 20th IEEE International Conference on Business Informatics,
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Hanbury, A. (2018) Data Intelligence und Recht, Working group "Perspektiven der Rechtsetzung" of the Directorate of the Austrian Parliament, Wien.
Hanbury, A. (2018) Unstructured Information in Data Science: Word Relatedness from Word Embedding, Data Science Society Meet-Up, Vienna.