Publications

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.
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, .
Neidhardt, J. (2019) It's happening, so what?, Menschen und Maschinen. Visionen unserer digitalen Zukunft, TU Wien, Wien.
Piroi, F., Hanbury, A. (2019) Multilingual Patent Text Retrieval Evaluation: CLEF-IP, Springer, Information Retrieval Evaluation in a Changing World.
Brandić, I. (2019) Facilitating Near Real Time Analytics on the Edge, 8th Mediterranean Conference on Embedded Computing (MECO), 8th Mediterranean Conference on Embedded Computing (MECO).
Lujić, I., Truong, H. (2019) Architecturing Elastic Edge Storage Services for Data-Driven Decision Making, Springer, European Conference on Software Architecture.
Neidhardt, J. (2019) NutzerInnen sind ein komplexes Phänomen., Menschen und Maschinen. Visionen unserer digitalen Zukunft, TU Wien, Wien.
Goldfarb, D., Merkl, W. (2019) Data-Driven Maps of Art History, International Journal of Art, Culture and Design Technologies (IJACDT), 8-1, .
Baumann, A., Neidhardt, J., Wissik, T. (2019) DYLEN: Diachronic Dynamics of Lexical Networks., Poster Proceedings of 2nd Conference on Language, Data and Knowledge (LDK 2019).
Aral, A. (2019) 5G Multi-Access Edge Computing: Non-Functional Requirements, 5th International B2B Software Days, Vienna, Austria.
Hanbury, A. (2019) AI Strategy in Austria, European Big Data Value Forum. Session: "Challenges & Strategies of Member States as Foundations for a European AI Strategy", Helsinki, Finland.
Hanbury, A. (2019) Searching and Mining Medical Documents, First Vienna Symposium Meeting on Machine Learning in Medicine & Biology, Wien.
Neidhardt, J. (2019) Recommender Systems and Decision-making in the Tourism Domain., International Alan Turing Conference on Decision Support and Recommender Systems (DSRS-Turing'19), London, UK.
Hofstätter, S., Hanbury, A. (2019) Let's measure run time! Extending the IR replicability infrastructure to include performance aspects, Proceedings of the Open-Source IR Replicability Challenge (OSIRRC 2019) co-located with 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019).
Weydemann, L., Sacharidis, D., Werthner, H. (2019) Defining and Measuring Fairness in Location Recommendations, LocalRec '19: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising.
Aral, A. (2019) Cloud Computing, Erasmus+ GraDAna Second School, Aristotle University of Thessaloniki, Greece.
Hanbury, A. (2019) Alexa, wir müssen reden!, Panel Diskussion: Alexa, wir müssen reden! International Forum for Business Communication., Wien.
Aral, A. (2019) Cloud Computing, Erasmus+ GraDAna Winter School, Aristotle University of Thessaloniki, Greece.
Hanbury, A. (2019) Challenges in developing a search system to support radiologists, Advances in Information Retrieval. 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Cologne, Germany.
Hanbury, A. (2019) Some Biases in Data Science, Austrian Computer Science Day, Wien.
Hofstätter, S., Rekabsaz, N., Eickhoff, C., Hanbury, A. (2019) On the Effect of Low-Frequency Terms on Neural-IR Models, Association for Computing Machinery, SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval.
Mukamakuza, C., Sacharidis, D., Werthner, H. (2019) The Impact of Social Connections in Personalization, UMAP'19 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization.

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