Short CV: Assoc.-Prof. Dr. Elisabeth Lex is a tenured associate professor of Applied Computer Science at Graz University of Technology (TUG) and PI of the Social Computing Lab at TUG. Her habilitation is on "Modeling and Predicting User Behavior in Web-based Systems". Elisabeth is co-PI of the transuniversity research project "Polarization in Public Opinion". She was work package leader in the FP7 IP Learning Layers, in which she researched cognition-inspired recommender systems and scientific coordinator of the Marie Curie IRSES Web Information Quality Evaluation Initiative (WIQ-EI) project, where she worked in quantifying information quality and credibility aspects of social media. She was task leader in the H2020 Analytics for Everyday Learning (AFEL) project, in which she researched psychology-informed recommender systems and opinion formation in online collaboration networks. Elisabeth was a member of the Expert Group on Altmetrics, which advised the European Commission, DG Research and Innovation. The expert group developed policies for the commission on how to use altmetrics to assess the impact of scientific artefacts. Elisabeth has published more than 100 scientific publications in venues such as WWW (TheWebConf), ACM Conference on Hypertext and Social Media (HT), ACM Conference on Recommender Systems, ACM UMAP, ECIR, ISMIR, as well as in journals such as UMUAI, EPJ Data Science, Frontiers in AI, Transactions of the International Society for Music Information Retrieval (TISMIR), or the International Journal of Human–Computer Interaction. Elisabeth regularly gives invited talks about her research and acts as Senior PC member, PC member and co-organizer and co-chair at venues such as ACM IUI, ACM RecSys, ACM Web Science or ACM HT. Among other courses at Graz University of Technology, Elisabeth teaches Computational Social Systems, Advanced Information Retrieval, Human Rights and Artificial Intelligence, and Scientific Writing.
Research Topics: recommender systems, music recommender systems, biases and unfairness in recommender systems, privacy in recommender systems, psychology-informed recommender systems, session-based recommender systems, polarization in online social media, moral framing, user behavior modeling
Selected Publications (see full list under Publications):
- Kowald, D., Muellner, P., Zangerle, E., Bauer, C., Schedl, M., Lex, E. (2021). Support the Underground: Characteristics of Beyond-Mainstream Music Listeners. EPJ Data Science
- Muellner, P., Kowald, D., Lex, E. (2021). Robustness of Meta Matrix Factorization Against Strict Privacy Constraints. In Proceedings of the 43rd European Conference on Information Retrieval (ECIR'2021). Springer
- Lex*, E., Kowald, D., Schedl, M. (2020) Modeling Popularity and Temporal Drift of Music Genre Preferences . Transactions of the International Society for Music Information Retrieval (TISMIR). * both authors contributed equally to this work.
- Kowald, D., Schedl, M., Lex, E. (2020). The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study. In Proceedings of the 42nd European Conference on Information Retrieval (ECIR'2020). Springer.
- Lacic, E., Reiter-Haas, M., Kowald, D., Dareddy, M., Cho, J., Lex, E. (2020). Using Autoencoders for Session-based Job Recommendations. User Modeling and User-Adapted Interaction (UMUAI). Springer.
- Kowald, D., Pujari, S., Lex, E. (2017) Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. In Proceedings of the 26th International World Wide Web Conference (WWW). ACM.
Selected Community Activities:
- Senior PC at ACM RecSys 2021
- Track Chair at ACM HT 2020 for Recommender Systems and Social Media
- Senior PC at ACM IUI 2020, 2019, 2018
- Senior PC at ACM Web Science 2019
- Senior PC at Social Informatics 2019
- Associate Chair at OpenSym 2017
- Best Paper Judging Committee ACM Web Science 2015
Want to collaborate? Contact me! elisabeth dot lex at tugraz dot at
If you are interested in collaboration, and/or in doing a project and/or thesis (bachelor, master) with me, feel free to contact me. If your interests don’t meet the suggested topics below but are related to my research, contact me as well and we’ll try to come up with a topic for your thesis.
- Markus Reiter-Haas (PhD thesis ongoing since 2020). Polarization in Public Opinion.
- Tomislav Duricic (PhD thesis ongoing since 2018). Sparsity and Interpretability issues in Social-based Recommender Systems.
- Peter Muellner (PhD thesis ongoing since 2018). Privacy in Recommender Systems.
- Emanuel Lacic (PhD thesis ongoing since 2014, expected to finish 2021).Tackling Real-World Requirements in Recommender Systems
- Ilire Hasani-Mavriqi (PhD thesis finished in 2018).Influence of Status on Consensus Building in Social Networks (co-supervision with Assoc. Prof. Denis Helic)
- Simone Kopeinik (PhD thesis finished 2017). Applying Cognitive Learner Models for Recommender Systems in Small-Scale Learning Environments (PhD thesis, finished.
- Dominik Kowald (PhD thesis finished 2017). Modeling Activation Processes in Human Memory to Improve Tag Recommendations.
- Peter Muellner (Master thesis finished 2020). Music Recommender Systems.
- Mario Wagner (Master thesis finished 2020). Mitigating bias in social networks through recommendations.
- Markus Reiter-Haas (Master thesis finished 2020). Job Recommender Systems.
- Thomas Riffert (Bachelor thesis finished 2019). Empirical analysis of political communities on Twitter
- Andreas Punz (Bachelor thesis finished 2016). Detection and Analysis of Communities on Twitter
- Peter Muellner (Bachelor thesis finished 2016). Werkzeuge zur Analyse von Lerngruppen anhand derer Aktivitäten in einem sozialen Netzwerk
- Christof Steinkellner (Master thesis finished 2016). Empirical Analysis of Social Networks at a Scientific Conference
- Vanessa Feichtner (Master thesis finished 2016). Information Quality in Wikipedia
- Vanessa Feichtner (Master project finished 2016) Processing Large Edit Networks in Wikipedia
- Tomislav Duricic (Master thesis finished 2015) Real-time recommendations using trust metrics and NoSQL databases, 2015. Cooperation via Erasmus+ programme together with University of Technology Zagreb, Croatia
- Christof Steinkellner (Master project 2015). Empirical Analysis of Social Networks at a Scientific Conference.