Opening of the Christian Doppler Lab for Recommender Systems
The new lab at the Institute for Information Systems Engineering deals with dynamic aspects of recommendations and domain-depended solutions.
May 3rd 2022 Tuesday
- 15:00 – 17:00 CEST / Add to calendar
- TU Wien, Campus Getreidemarkt, TUthesky
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1060 Vienna, Getreidemarkt 9
Bauteil BA (Hoftrakt), 11. Stock, Raum BA11B07 -
This is a hybrid event.
See description for details.
This event will be held in German.
We kindly ask you to register here for participation on-site.
Watch the recorded live stream on YouTube!
Program
Welcome address
- Univ.-Prof. DI Dr. Johannes Fröhlich
Vice Rector for Research and Innovation, TU Wien - MR Dr. Ulrike Unterer
Vice President of the Christian Doppler Research Association and
Head of the Department for Key Technologies at the BMDW - O.Univ.Prof. Dr. Gerti Kappel
Dean of TU Wien Informatics
Keynote
- Univ.Prof. Dr. Hannes Werthner
Former Professor and former Dean of TU Wien Informatics
Presentation of the CD Laboratory for Recommender Systems
- Dr. Julia Neidhardt
Head of the CD Laboratory for Recommender Systems, TU Wien Informatics - Mag. Siegmar Schlager
Managing Director, Falter Verlagsgesellschaft m.b.H. - Florian Jungnikl-Gossy, MA
Chief Product Officer, Falter Verlagsgesellschaft m.b.H. - DI Bernhard Krüpl-Sypien
Managing Director, YKMB Software GmbH
The event is moderated by Dr. Irina Nalis-Neuner, CD Laboratory for Recommender Systems, TU Wien Informatics.
Christian Doppler Lab for Recommender Systems
TU Wien Informatics now hosts the Christian Doppler Laboratory for Advancing the State-of-the-Art of Recommender Systems in Multi-Domain Settings, which will focus on dynamic aspects of recommender systems under the direction of Julia Neidhardt. The lab is based at the Institute for Information Systems Engineering and cooperates with Falter Verlagsgesellschaft m.b.H. and YKMB Software GmbH.
Recommender systems are omnipresent in our everyday lives - from product recommendations in online stores and personalized content on social media to streaming services’ movie suggestions. We are used to the impressive precision of these systems, offering us tailored recommendations –but at the same time severely limiting our reception, interaction, and consumption choices. This bias not only affects the virtual world but has very real social and political implications. The Christian Doppler Laboratory for Recommender Systems is therefore researching strategies for diversifying recommender systems. Its focus is on the dynamic development of the systems, both in time and with regard to the social context and realities of the users. Questions about the relationship between individuals and groups are at the core of research endeavors: How does the inclusion of users’ networks change the systems? How do group decisions work and do they influence diversity? And what role does the application area - from news recommendations to restaurant suggestions - play in the diversification strategy?
At Christian Doppler Laboratories, application-oriented basic research is conducted at a high level, with outstanding scientists cooperating with innovative companies. The Christian Doppler Research Association is internationally regarded as a best-practice example for the promotion of this cooperation. Christian Doppler Laboratories are jointly funded by the public sector and the participating companies. The most important public funding body is the Austrian Federal Ministry for Digital and Economic Affairs (BMDW).
Julia Neidhardt
Dr. Julia Neidhardt
Julia Neidhardt is a researcher at the Research Unit E-Commerce at TU Wien informatics with a background in mathematics and computer science. Previously she was a guest researcher at the Austrian Academy of Sciences as well as visiting scholar at Northwestern University, USA, and at the University of Geneva, Switzerland. Her research focuses on user modeling and recommender systems in tourism and in the news domain, developing approaches to capture online opinion-forming and online behavior, and digital humanities.
Her research is published in highly renowned conference proceedings and journals including Nature Human Behaviour. She regularly is invited to give talks on topics related to her research, among others at the Oxford Women in Computer Science - Distinguished Speaker Series at the University of Oxford. Julia Neidhardt is a senior program committee member of the ACM Conference on Recommender Systems (RecSys) and is an associate editor of the Journal of Information Technology &Tourism as well as a distinguished reviewer of the newly established journal ACM Transactions on Recommender Systems (TORS). She was research track co-chair of ENTER 2020 and ENTER 2019 and a co-organizer of a number of workshops and conferences. Julia Neidhardt is part of the Digital Humanism Initiative at TU Wien and board member of Center for Artificial Intelligence and Machine Learning (CAIML). She will lead the CD Lab for Recommender Systems, applying her expertise in these various research areas focusing on recommender systems.
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