About

Elisabeth Lex

Short CV: Assoc.-Prof. Dr. Elisabeth Lex is a tenured associate professor at Graz University of Technology (TUG) and PI of the Social Computing Lab at TUG. She is dean of study for the master's program Computational Social Systems. She has a habilitation (venia docendi) in Applied Computer Science, and her postdoctoral thesis is on "Modeling and Predicting User Behavior in Web-based Systems". Elisabeth is co-PI of the trans-university research project "Polarization in Public Opinion, " funded by the rectorates of University of Graz and TU Graz. Her areas of expertise include (psychology-informed) recommender systems, user modeling, behavioral analytics, information retrieval, machine learning, data science, and web mining. Elisabeth Lex received her Ph.D. in computer science from Graz University of Technology in 2011. After completing the Ph.D. program, she was a postdoctoral research fellow at Universidad National de San Luis, Argentina, and RWTH Aachen, Germany. Elisabeth was a work package leader in the FP7 IP Learning Layers project, in which she researched cognition-inspired recommender systems. She was also the 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 artifacts. She has published more than 100 scientific publications in venues such as WEB, HT, RecSys, UMAP, ECIR, ISMIR, as well as in journals such as Foundations and Trends in Information Retrieval, 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, co-organizer, and co-chair at venues such as IUI, RecSys, Web Science, or HT. Elisabeth is a passionate teacher at TU Graz and teaches Computational Social Systems, Advanced Information Retrieval, Recommender Systems, Introduction to Programming, Human Rights and Artificial Intelligence, and Scientific Writing.

Research Topics: Intelligent Information Systems, Behavioral Analytics, (psychology-informed) Recommender Systems, Music Recommender Systems, Biases, Privacy in Recommender Systems, Computational Social Science

Contact: Graz University of Technology
Inffeldgasse 13
A-8010 Graz, Austria
Email: firstname DOT lastname AT tugraz DOT at

Selected Publications:

  • Lex, E., Kowald, D., Seitlinger, P., Tran, T. N. T., Felfernig, A., Schedl, M., (2021). Psychology-informed Recommender Systems. Foundations and Trends in Information Retrieval (accepted) ( .pdf)
  • 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. ( .pdf)
  • 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. ( .pdf)
  • 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. ( .pdf)
  • 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. ( .pdf)
  • 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. ( .pdf)
  • 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'2017). ACM. ( .pdf)

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 (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

Supervised theses

  • 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.
  • 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.

If you are interested in collaboration, and/or in doing a project and/or thesis (bachelor, master) with me, feel free to contact me.



Publications

Journals, Books and Book Chapters:
  1. Lex, E., Kowald, D., Seitlinger, P., Tran, T. N. T., Felfernig, A., Schedl, M., (2021). Psychology-informed Recommender Systems. Foundations and Trends in Information Retrieval (accepted) ( .pdf)
  2. Schedl M., Bauer, C., Reisinger, W., Kowald, D., & Lex, E. (2021). Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes. Frontiers in Artifical Intelligence. ( .pdf)
  3. 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. ( .pdf)
  4. 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. ( .pdf)
  5. 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). *equal contribution. ( .pdf)
  6. Ruiz-Calleja, A., Dennerlein, S., Kowald, D., Theiler, D., Lex, E., Ley, T. (2019). An Infrastructure for Workplace Learning Analytics: Tracing Knowledge Creation with the Social Semantic Server. Journal of Learning Analytics. SoLAR. 2019
  7. Hasani-Mavriqi, Kowald, D., Helic, D., Lex, E. (2018) Consensus Dynamics in Online Collaboration Systems.Computational Social Networks, Springer. 2018
  8. Lacic, E., Traub, M., Duricic, T., Haslauer, E., Lex, E. Gone in 30 days! Predictions for car import planning. IT-Information technology, 60(4), 219-228. 2018
  9. Peters, I., Kraker, P., Lex, E., Gumpenberger, C., Gorraiz, J. (2018) Zenodo in the spotlight of traditional and new metrics. Frontiers in Research Metrics & Analytics
  10. Seitlinger, P. Ley, T., Kowald, D., Theiler, D., Hasani-Mavriqi, I., Dennerlein, S., Lex, E., Albert, D. (2017) Balancing the fluency-consistency tradeoff in collaborative information search with a recommender approach. International Journal of Human–Computer Interaction.
  11. Kopeinik, S., Kowald, D., Hasani-Mavriqi, I., Lex, E. (2017) Improving Collaborative Filtering Using a Cognitive Model of Human Category Learning. In The Journal of Web Science, 2(4), 45-61 paper
  12. Hasani-Mavriqi, I., Geigl, F., Pujari, S.C., Lex, E., Helic, D. (2016) The influence of social status and network structure on consensus building in collaboration networks. In Social Network Analysis and Mining (SNAM). doi:10.1007/s13278-016-0389-y
  13. Peters, I., Kraker, P., Lex, E., Gumpenberger, C., and Gorraiz, J. (2016) Research data explored: an extended analysis of citations and alt metrics. Scientometrics, 2016. Pages. 1--22 http://dx.doi.org/10.1007/s11192-016-1887-4
  14. Santos, P., Dennerlein, S., Theiler, D., Cook, J., Treasure-Jones, T., Holley, D., Kerr, M., Attwell, G., Kowald, D. and Lex, E. (2016) Going beyond your personal learning network, using recommendations and trust through a multimedia question-answering service for decision-support: A case study in the healthcare. Journal of Universal Computer Science, Vol. 22, No. 3, pp. 340-359.
  15. Seifert, C., Sabol, V., Kienreich, W., Lex, E., and Granitzer. M., (2014) Visual Analysis and Knowledge Discovery for Text, Large-Scale Data Analytics, Springer, 2014. (pdf)
  16. Lex, E., (2011) Content Facets for Individual Information Needs in Media, PhD thesis, 2011.
  17. Lex, E., Seifert, C., Granitzer, M., Juffinger, A., (2010) Efficient Cross-Domain Classification of Weblogs, International Journal of Intelligent Computing Research (IJICR), Vol.1, Issue 2, 2010.
  18. Lex, E., Seifert, C., Kienreich, W., Granitzer, M., (2008) A generic framework for visualizing the news article domain and its application to real-world data, Journal of Digital Information Management, 2008.
Conference Proceedings:
  1. 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. ( .pdf)
  2. 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. ( .pdf)
  3. Kowald, D.*, Lex, E.*, & Schedl, M. (2020). Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations. In Proceedings of the Humanize workshop co-located with the 25th ACM Conference on Intelligent User Interfaces (IUI'2020). ACM. * both authors contributed equally to this work.
  4. Duricic, T., Hussain, H., Lacic, E., Kowald, D., Helic, D., & Lex, E. (2020). Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. In Proceedings of the 25th International Symposium on Intelligent Systems (ISMIS'2020). Springer
  5. Lacic, E., Reiter-Haas, M., Slawicek, V., Lex, E. (2019) Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations. Proceedings of the 13th ACM Conference on Recommender Systems (RecSys)
  6. Lex, E., & Kowald, D. (2019). The Impact of Time on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. In Proceedings of The 49th GI Annual Conference (INFORMATIK'2019).
  7. Kopeinik, S., Lex, E., Kowald, D., Albert, D., & Seitlinger, P. (2019). A Real-Life School Study of Confirmation Bias and Polarisation in Information Behaviour. In Proceedings of the 14th European Conference on Technology Enhanced Learning (ECTEL'2019). Springer
  8. Kowald, D*., Lex, E.*, Schedl, M. (2019). Modeling Artist Preferences for Personalized Music Recommendations. In Late-Breaking-Results of the 20th annual conference of the International Society for Music Information Retrieval (ISMIR'2019). * both authors contributed equally to this work
  9. Lacic, E.*, Kowald, D.*, Theiler, D., Traub, M., Kuffer, L., Lindstaedt, S., Lex, E. (2019). Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric. In REVEAL Workshop co-located with ACM Conference on Recommender Systems (RecSys'2019). * both authors contributed equally to this work
  10. Kowald, D., Traub, M., Theiler, D., Gursch, H., Lindstaedt, S., Kern, R., Lex, E. (2019). Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets. In REVEAL Workshop co-located with ACM Conference on Recommender Systems (RecSys'2019)
  11. Lex, E.*, Kowald, D.* & Schedl, M. (2019). Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations. European Symposium on Computational Social Science (ESCSS'2019)
  12. Duricic, T., Lacic, E., & Kowald, D. & Lex, E. (2019). Exploiting weak ties in trust-based recommender systems using regular equivalence. European Symposium on Computational Social Science (ESCSS'2019).
  13. Kopeinik, S., Seitlinger, P., & Lex, E. (2019) A Study of Confirmation Bias and Polarization in Information Behavior. European Symposium on Computational Social Science (ESCSS'2019).
  14. Duricic, T., Lacic, E., Kowald, D., & Lex, E. (2018). Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence. In Proceedings of the 12th ACM Conference on Recommender Systems (RecSys'2018). ACM.
  15. Lex, E., Wagner, M., & Kowald, D. (2018). Mitigating Confirmation Bias on Twitter by Recommending Opposing Views. European Symposium on Computational Social Science (ESCSS'2018).
  16. Kowald, D., & Lex, E. (2018). Studying Confirmation Bias in Hashtag Usage on Twitter. European Symposium on Computational Social Science (ESCSS'2018).
  17. Kowald, D., Lacic, E., Theiler, D., & Lex, E. (2018). AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments. In Social Interaction-Based Recommender Systems (SIR'2018) Workshop co-located with Conference on Information and Knowledge Management (CIKM'2018) conference
  18. Lacic, E., Kowald, D., & Lex, E. (2018). Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations. In International Workshop on Entity Retrieval (EYRE'2018) Workshop co-located with Conference on Information and Knowledge Management (CIKM'2018) conference
  19. Dennerlein, S., Kowald, D., Pammer-Schindler, V., Lex, E., & Ley, T. (2018). Simulation-based Co-Creation of Algorithms. In Workshop on Co-Creation in the Design, Development and Implementation of Technology-Enhanced Learning (CCTEL'2018) co-located with European Conference on Technology Enhanced Learning (ECTEL'2018) conference.
  20. Lex, E., Ross-Hellauer, T., & Kowald, D. (2018). Recommender Systems as Enabling Technology to Interlink Scholarly Information. In Proceedings of the Workshop on Researcher Centric Scholarly Communication co-located with the 27th International World Wide Web Conference (WWW'2018).
  21. D'Aquin, M., Kowald, D., Fessl, A., Lex, E., & Thalmann, S. (2018). AFEL - Analytics for Everyday Learning. In Proceedings of the International Projects Track co-located with the 27th International World Wide Web Conference (WWW'2018). ACM.
  22. Lacic, E., Kowald, D., Reiter-Haas, M., Slawicek, V., Lex, E. Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations. Accepted for publication at the Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP), co-located with WSDM 2018.
  23. D'Aquin, M., Adamou, A., Dietze, S., Fetahu, B., Gadiraju, U., Hasani-Mavriqi, I., Holtz, P., Kimmerle, J., Kowald, D., Lex, E., Lopez.Sola, S., Maturana, R., Sabol, V., Troullinou, P., & Veas, E. (2017). AFEL: Towards Measuring Online Activities Contributions to Self-directed Learning. In Proceedings of Proceedings of the 7th Workshop on Awareness and Reflection in Technology Enhanced Learning (ARTEL) in conjunction with the 12th European Conference on Technology Enhanced Learning: Adaptive and Adaptable Learning (EC-TEL 2017)
  24. Lacic, E., Kowald, D., & Lex, E. (2017). Tailoring Recommendations for a Multi-Domain Environment. In Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning, co-located with ACM Conference on Recommender Systems (RecSys 2017), 42-45
  25. Kowald, D., Kopeinik, S., & Lex, E. (2017). The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems. In Proceedings of the Adjunct Publication of the 25th ACM International Conference on User Modeling, Adapation and Personalization (UMAP'2017). ACM.
  26. 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'2017). ACM.
  27. Kopeinik, S., Lex, E., Seitlinger, P., Albert, D., Ley, T. (2017). Supporting collaborative learning with tag recommendations: a real-world study in an inquiry-based classroom project. In Proceedings of the 7th International Conference on Learning Analytics and Knowledge (LAK 2017)
  28. Stanisavljevic, D., Hasani-Mavriqi, I., Lex, E., Strohmaier, M., Helic, D. (2016). Semantic Stability in Wikipedia. In 5th International Workshop on Complex Networks and their Applications.
  29. Traub, M., Lacic, E., Kowald, D., Kahr, M., Lex, E. (2016)  Need Help? Recommending Social Care Institutions. In 1st Workshop on Recommender Systems and Big Data Analysis (RS-BDA), co-located with i-Know 2016.
  30. Kopeinik, S., Kowald, D., Lex, E. Which algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL. In Proceedings of the European Conference on Technology Enhanced Learning (EC-TEL 2016).
  31. Dennerlein, S., Seitlinger, P., Lex, E., Ley, T. Take up my Tags: Exploring Benefits of Collaborative Learning in a Social Tagging Field Study at the Workplace. In Proceedings of the European Conference on Technology Enhanced Learning (EC-TEL 2016).
  32. Kowald, D., Lex, E. The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems. In Proceedings of the 27th ACM Conference on Hypertext and Hypermedia (HT2016)
  33. Lacic, E., Kowald, D., Lex, E. High Enough? Explaining and Predicting Traveler Satisfaction Using Airline Reviews. In Proceedings of the 27th ACM Conference on Hypertext and Hypermedia (HT2016)
  34. Luzhnica, G., Simon, J., Lex, E., Pammer, V. (2016) A Sliding Window Approach to Natural Hand Gesture Recognition using a Custom Data Glove. In Proceedings of the IEEE 3DUI 2016 Symposium on 3D User Interfaces.
  35. Malarkodi C.S., Lex, E. and Sobha Lalitha Devi S. (2016) Named Entity Recognition for the Agricultural Domain. In Proceedings of the 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING 2016)
  36. Ruiz-Calleja, A., Dennerlein, S., Ley, T., Lex, E. (2016) Visualizing workplace learning data with the SSS Dashboard. In Learning Analytics for Workplace and Professional Learning (LA for Work) workshop at LAK 2016.
  37. Kowald, D., Seitlinger, P., Ley, T., Lex, E. (2015) Modeling Activation Processes in Human Memory to Improve Tag Recommendations. Poster and Presentation at Computational Social Science Winter Symposium (CSSWS), 2015.
  38. Kowald, D. and Lex, E. (2015) Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study. In Proceedings of the 9th ACM Recommender Systems Conference (RecSys 2015) paper
  39. Lacic, E., Kowald, D., Traub, M. and Lex, E. (2015) Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems In Proceedings of the 9th ACM Recommender Systems Conference (RecSys 2015)
  40. Lacic, E., Traub, M., Kowald, D. and Lex, E. (2015) ScaR: Towards a Real-Time Recommender Framework Following the Microservices Architecture In Workshop on Large Scale Recommender Systems (LSRS2015) at RecSys 2015
  41. Pujari, S., Hadgu, A., Lex, E., Jäschke, R. (2015) Social Activity versus Academic Activity: A Case Study of Computer Scientists on Twitter In Proceedings of the 15th International Conference on Knowledge Technologies and Data-Driven Business (i-KNOW 2015)
  42. Dennerlein, S., Kowald, D., Lex, E., Theiler, D., Lacic, E., Ley, T., Tomberg V., Ruiz-Calleja, A. (2015) The Social Semantic Server: A Flexible Framework to Support Informal Learning at the Workplace In Proceedings of the 15th International Conference on Knowledge Technologies and Data-Driven Business (i-KNOW 2015)
  43. Traub, M., Kowald, D., Lacic, E., Schoen, P., Supp, G., Lex, E. (2015) Smatrt Booking Without Looking: Providing Hotel Recommendations in the TripRebel Portal.  In Proceedings of the 15th International Conference on Knowledge Technologies and Data-Driven Business (i-KNOW 2015)
  44. Ruiz-Calleja, A., Dennerlein, S. M., Tomberg, V., Ley, T., Theiler, D., Lex, E. (2015). Integrating data across workplace learning applications with a social semantic infrastructure. In Proceedings of the International Conference on Web-based Learning.
  45. Hasani-Mavriqi, I., Geigl, F., Pujari, S., Lex, E., Helic, D. (2015) Influence of Status on Consensus Building in Collaboration Networks. In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015)
  46. Kraker, P., Lex, E. (2015) A Critical Look at the ResearchGate Score as a Measure of Scientific Reputation.  Quantifying and Analysing Scholarly Communication on the Web (ASCW'15 at ACM Web Science)
  47. Lex, E., Dennerlein, S. (2015) HowTo: Scientific Work in Interdisciplinary and Distributed Teams In: Science 2.0, IEEE Computer Society Special Technical Community on Social Networking E-Letter, vol. 3, no. 1, June 2015.
  48. Kraker, P., Lex, E., Gorraiz, J., Gumpenberger, C., Peters, I. (2015) Research Data Explored II: the Anatomy and Reception of figshare In Proceedings of the 20th International Conference on Science and Technology Indicators (STI 2015)
  49. Cook, J., Ley, T., Maier, R., Mor, Y., Santos, P., Lex, E., Dennerlein, S., Trattner, C., Holley, D. (2015) Using the Hybrid Social Learning Network to Explore Concepts, Practices, Designs and Smart Services for Networked Professional Learning In Proceedings of the International Conference on Smart Learning Environments 2015 (ICSLE 2015)
  50. Ruiz-Calleja, A., Dennerlein, S., Tomberg, V., Pata, K., Ley, T., Theiler, D. & Lex, E. (2015). Supporting learning analytics for informal workplace learning with a social semantic infrastructure. In Proceedings of the European Conference on Technology Enhanced Learning, Springer International Publishing (in press).
  51. Dennerlein, S., Theiler, D., Marton, P., Santos Rodriguez, P., Cook, J., Lindstaedt, S. & Lex, E. (2015). KnowBrain: An Online Social Knowledge Repository for Informal Workplace Learning. In Proceedings of the European Conference on Technology Enhanced Learning, Springer International Publishing (in press).
  52. Seitlinger, P., Kowald, D., Kopeinik, S., Hasani-Mavriqi, I., Ley, T., and Lex, E. (2015) Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics. In 24rd International World Wide Web Conference (WWW2015), Web-Science Track, Companion Volume, New York: ACM. paper
  53. Peters, I., Kraker, P., Lex, E., Gumpenberger, C., and Gorraiz, J. (2015) Research Data Explored: Citations versus Altmetrics. In Proceedings of the International Society for Informetrics and Scientometrics – ISSI 2015, 2015
  54. Kraker, P., Enkhbayar, A., Lex, E. (2015) Exploring Coverage and Distribution of Identifiers on the Scholarly Web. In Proceedings of the 14th International Symposium of Information Science - ISI 2015, 2015
  55. Lex, E., Kraker, P., Dennerlein, S. (2014) What Really Works: Reflections on Applied Methods in a Real World Interdisciplinary Project , Interdisciplinary Coups to Calamities Workshop at ACM Web Science 2014, Bloomington, Indiana, USA.
  56. Wozelka, R., Sabol, V., Lex, E. (2014) Graph Visualization using Hierarchical Aggregation and Edge Bundling , Poster at ACM Web Science 2014, Bloomington, Indiana, USA.
  57. Horn, C., Zhila, A., Gelbukh, A., Kern, R., & Lex, E. (2013) Using Factual Density to Measure Informativeness of Web Documents, Proceedings of the Nordic Conference on Computational Linguistics (NoDaLiDA) 2013.
  58. Kienreich, W.; Schulze, G.; Lex, E.; Rapp, S. (2013) Eine Kombination von Regelbasierten und Statistischen Verfahren für die Hierarchische Klassifikation von Juristischen Dokumenten, Internationales Rechtsinformatik-Symposion 2013.
  59. Lex, E.; Pimas, O.; Simon, J. & Pammer, V. (2012) Where am I? Using Mobile Sensor Data to Predict a User’s Semantic Place with a Random Forest Algorithm, Proceedings of 9th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services (Mobiquitous 2012), 2012.
  60. Lex, E., Voelske, M., Errecalde, M., Ferretti, E., Cagnina, L., Horn, C., Stein, B., and Granitzer, M. (2012) Measuring the Quality of Web Content using Factual Information, Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality at WWW 2012.
  61. Rapp, S., Kienreich, W., Lex, E. (2012) Maschinelle Lernverfahren für die Automatische Klassifikation von Juristischen Dokumenten,Tagungsband IRIS 2012 - 15. Internationale Rechtsinformatik Symposion.
  62. Horn, C., Lex, E., Granitzer, M. (2011) Who Tweets: Detecting User Types and Tweet Quality using Supervised Classification,IADIS European Conference on Data Mining (ECDM) 2011.
  63. Horn, C., Pimas, O., Granitzer, M., and Lex, E. (2011) Realtime Ad Hoc Search in Twitter: Know-Center at TREC Microblog Track 2011., TREC 2011 Notebook Paper.
  64. Lex, E., Khan, I., Bischof, H., Granitzer, M. (2010) Assessing the Quality of Web Content., Proceedings of the ECML/PKDD Discovery Challenge 2010, Online.
  65. Granitzer, M., Kienreich, W., Sabol, V., Lex, E. (2010) Knowledge Relationship Discovery and Visually Enhanced Access for the Media Domain., Medien-Wissen-Bildung. Explorationen visualisierter und kollaborativer Wissensräume (Conference Series).
  66. Lex, E., Juffinger, A., Granitzer, M. (2010) A Comparison of Stylometric and Lexical Features for Web Genre Classification and Emotion Classification in Blogs., IEEE Computer Society: 7th International Workshop on Text-based Information Retrieval in Procceedings of 21th International Conference on Database and Expert Systems Applications (DEXA 10).
  67. Lex, E., Juffinger, A., Granitzer, M. (2010) Objectivity Classification in Online Media., Proceedings of the 21st ACM SIGWEB Conference on Hypertext and Hypermedia (HT2010), 2010.
  68. Lex, E., Granitzer, M., Muhr, M., Juffinger, A. (2010) Stylometric Features for Emotion Level Classification in News Related Blogs., Proceedings of the 9th ACM RIAO Conference, 2010.
  69. Juffinger, A., Lex, E., Freire, N. (2010) Error Tolerant Large Scale FRBRization., In Proceedings of the Third Workshop on Very Large Digital Libraries (ECDL 2010), 2010.
  70. Lex, E., Granitzer, M., Juffinger, A. (2009) Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task., Proceedings of the 18th Text Retrieval Conference, 2009.
  71. Lex, E., Content Based Quality And Credibility Assessment For Blogs. (2009) , Doctoral Paper at IADIS International Conference WWW/Internet, 2009.
  72. Lex, E., Granitzer, M., and Juffinger, A. (2009) Know-Center at TREC 2009 Blog Distillation Task: A Notebook Paper., Notebook paper at TREC 2009 conference.
  73. Juffinger, A., Willfort, R., Lex E., Granitzer, M. (2009) Spectral Web Content Trend Analysis., Proceedings of the IADIS International Conference WWW/Internet, 2009.
  74. Lex, E., Seifert, C., Granitzer, M., Juffinger, A. (2009) Automated Blog Classification: A Cross Domain Approach., Proceedings of the IADIS International Conference WWW/Internet, 2009.
  75. Lex, E., Seifert, C., Granitzer, M., Juffinger, A. (2009) Cross-Domain Classification: Trade- Off between Complexity and Accuracy., Proceedings of the 4th International Conference for Internet Technology and Secured Transactions (ICITST), 2009.
  76. Seifert, C., Lex, E. (2009)A Novel Visualization Approach for Data-Mining-Related Classification., Proceedings of the 13th International Conference on Information Visualization (IV09), IEEE Computer Society, 2009.
  77. Seifert, C., Lex, E. (2009) A Visualization to Investigate and Give Feedback to Classifiers., Poster and Demo at the EuroVis 2009.
  78. Juffinger, A., Lex, E. (2009) Crosslanguage Blog Mining and Trend Visualization., Proceedings of the 18th World Wide Web Conference (WWW'2009).
  79. Juffinger, A., Granitzer, M., Lex, E. (2009) Blog Credibility Ranking by Exploiting Verified Content., Proceedings of the 3rd Workshop on Information Credibility on the Web at the 18th WWW conference.
  80. Kienreich, W., Lex, E., Seifert, C. (2008) APA Labs: An Experimental Web-Based Platform for the Retrieval and Analysis of News Articles., Proceedings of the first International Conference on the Applications and Digital Information and Web Technologies (ICADIWT08).
  81. Lex, E.; Kienreich, W.; Granitzer, M. (2007) A General Purpose Visual Formalism Based on Procedurally Generated Geometry., Proceedings of the 2nd International Symposium on Generalization of Information 2007.
Policy documents: Proceedings as editor
  • Alexander Felfernig, Ralf Klamma, Tobias Ley, Dominik Kowald, Elisabeth Lex, & Viktoria Pammer-Schindler (2017). Focused topic on "Recommender systems and social network analysis" in Journal of Universal Computer Science (JUCS). Volume 23. Issue 9.
  • Mario Aehnelt, Olivia Bluder, Gert Breitfuss, Rene Kaiser, Roman Kern, Ralf Klamma, Dominik Kowald, Tobias Ley, Elisabeth Lex, Christiana Müller, Viktoria Pammer-Schindler, Romana Rauter, Gerald Reiner, & Eduardo Veas (2017). Proceedings of the Workshop Papers of i-Know 2017, Graz, Austria, October 11-12, 2017

Awards



  • 10/2017-02/2018 Erasmus+ Staff Mobility Grant for doing research at the Chair for Computational Social Sciences and Humanties at RWTH Aachen in the group of Prof. Markus Strohmaier on biases in recommender systems
  • 10/2015 Demo Honorable Mention Award 15th International Conference on Knowledge Technologies and Data Driven Business (i-KNOW'15)
  • 09/2015 Special Mention Third Demo Award at the Tenth Conference on Technology Enhanced Learning (EC-TEL'15)
  • 06/2015 Outstanding Paper Award 15th International Society of Scientometrics and Informetrics Conference (ISSI'15)
  • 12/2012 Industrial Research Prize (Universitätsforschungspreis der Industrie 2012), 2. Place
  • 10/2011-01/2012 Marie Curie IRSES fellowship (visiting researcher at UNSL Argentina)
  • 09/2010 Runner Up at ECML/PKDD Discovery Challenge 2010
  • 05/2010 SIGWEB Student Travel Award for Hypertext 2010
  • 2009 Scholarship: Career Program for female Scientists, Karl-Franzens-Universität Graz, Austria

Grants



  • Transuniversity Project Route 63: Polarization in Public Opinion. 160k EUR to fully fund a Ph.D. student for my group (overall volume: 325k EUR for 2 fully funded Ph.D. projects for 4 years) in an interdisciplinary, collaborative setting: one fully funded Computer Science Ph.D. for my Social Computing lab, the second Ph.D. project will be carried out by a student from Sociology, who a PI from Sociology will supervise. Project is on polarization in online media: combining social survey data with big data Twitter analyses. Designed the idea, the Computer Science Ph.D. project and co-wrote the proposal with the PI from Sociology. Funded by the rectorates of TU Graz and University of Graz.
  • FFG COMET DDAI. Volume: 700k EUR for my group as the PI for Social Computing (overall 3.7 Mio. EUR for 4 years). Responsible for designing and describing two Ph.D. projects on explainability in recommendation services and on privacy-aware recommendation services. Contributed to the overall proposal and added novel scientific partners to the consortium.
  • H2020 TRIPLE. 120k EUR for my group as co-writer and task leader (overall volume: EUR 5.6 Mio. EUR for 3.5 years). Responsible for describing the tasks on recommendation services to increase the accessibility of scientific outputs and integration. Contributions to the overall proposal. (2019-)
  • H2020 AI4EU. 73.5k EUR for my group as co-writer and task leader (overall volume: EUR 20 Mio. EUR for 3 years). Responsible for describing a task on automatic matchmaking services and brokerage (2019-)
  • FFG COMET Know-Center FFG – K1 Research Center Grant. 3.6 Mio. EUR as the PI for Social Computing (overall 20.4 Mio. EUR for the funding period 2019 - 2022 of the Know-Center GmbH). Significant contribution to the whole proposal as head of Social Computing. Developed strategic research plan with scientific and industry partners for the Social Computing area, one of six research areas at the Know-Center.
  • H2020 OpenUp. 238k EURO for my group as co-writer and work package leader (overall volume: EUR 2.3 Mio. for 2.5 years). Responsible for writing the work package on novel dissemination methods for Open Science, contributed to task descriptions on alternative, social media-based indicators to measure scientific impact (2016-2019)
  • H2020 AFEL - Analytics for Everyday Learning. 200k EUR for my group as co-writer and task leader (overall volume: 2.6 Mio. EUR for 4 years). Responsible for describing the tasks on semantic enrichment and recommendation services.
  • H2020 MoreGrasp. 160k EUR for my group as co-writer and task leader (overall volume: 3.5 Mio. EUR for 3 years). Responsible for describing the tasks on matchmaking services.
  • FFG Leitprojekt DMA. 170k EUR for my group as co-writer and work package leader (overall volume: 3.8 Mio. EUR for 3 years). Responsible for the work package on matchmaking and brokerage services for the Data Market Austria.
  • Gesundheitsfonds Steiermark Heli-D. 37.5 EUR for my group as co-writer and work package leader (overall volume: 75k EUR for 3 years). Responsible for the work package on learning analytics services and recommender systems.
  • OpenAire Matchmaker. 15k EUR for my group as co-writer. Tender to extend the OpenAire Open Science infrastructure with a matchmaking and recommendation service for funders and proposals.
  • Besides, significant contribution to the FFG – K1 Research Center Grant with an overall funding of 20.4 Mio. EUR for the funding period 2015 - 2018 of the Know-Center GmbH as co-PI and deputy head of Social Computing. Co-designed the Social Computing area as a novel area. Co-developed strategic research plan with scientific and industry partners for the Social Computing area with focus on social media analytics, information quality and web content credibility; thematic coordinator for life sciences.

Service



Conference and Workshop Organization
  1. Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS), co-located with 15th ACM International Conference on Recommender Systems (RecSys), 2021, Co-organizer
  2. ACM RecSys 2021, Senior PC
  3. ACM HT 2020, Track Chair for Recommender Systems and Social Media
  4. Computer Science Talks (CS Talks) at TU Graz, Faculty of CS, since 2018
  5. ACM IUI 2020, Senior PC
  6. ACM IUI 2019, Senior PC
  7. ACM Web Science 2019, Senior PC
  8. Social Informatics 2019, Senior PC
  9. ACM IUI 2018, Senior PC
  10. OpenSym 2017, Associate Chair
  11. ACM IUI 2017, Senior PC
  12. Workshop on Recommender Systems, Big Data Analytics & Social Network Analysis and Digital Humanities, co-located with i-KNOW 2017, Co-organizer
  13. Workshop on Recommender Systems and Big Data Analytics, co-located with i-KNOW 2016, Co-organizer
  14. Web 2.0 Models, Methods and Tools in Knowledge Management, Mini-Track at the 17th European Conference on Knowledge Management (ECKM 2016), Co-organizer
  15. Quantifying and Analyzing Scholarly Communication on the Web (#ascw2015) - Workshop at ACM Web Science conference 2015, Co-organizer
  16. Barcamp Science 2.0, co-located with the Science 2.0 Conference 2015, Hamburg, Germany. Co-Organizer
  17. i-Know 2015: International Conference on Knowledge Technologies and Data-driven Business, Program Chair Social Computing
  18. i-Know 2015: International Conference on Knowledge Technologies and Data-driven Business, Program Chair Open Science and Science 2.0
  19. i-Know 2015: International Conference on Knowledge Technologies and Data-driven Business, Program Chair Special Track Recommender Systems: From Algorithms to Big Data Recommendation Systems
  20. i-Know 2014: International Conference on Knowledge Technologies and Data-driven Business, Program Chair Science 2.0 Track
Selected Program Committee Memberships and Reviewing
  1. ACM RecSys 2021
  2. ACM HT 2021
  3. ECML/PKDD 2021
  4. ISMIR 2021
  5. IC2S2 2021
  6. UMAP 2021
  7. UMAP LBR 2021
  8. ECIR 2021
  9. The Web Conference 2020
  10. 6th International Conference on Computational Social Science 2020
  11. 23st ACM International Conference on Intelligent User Interfaces 2020
  12. 26th International Symposium on Methologies for Intelligent Systems 2020
  13. 13th ACM Recommender Systems Conference 2019
  14. 49th GI Annual Conference INFORMATIK 2019
  15. 30th ACM Conference on Hypertext and Social Media 2019
  16. 5th International Conference on Computational Social Science 2019
  17. 14th European Conference on Technology Enhanced Learning 2019
  18. ACM Multimedia 2019
  19. Joint workshop on interfaces and human decision making for recommender systems - IntRS@RecSys 2019
  20. Workshop on Big Social Data and Urban Computing 2019
  21. 22nd ACM International Conference on Intelligent User Interfaces 2019
  22. 40th European Conference on Information Retrieval 2018
  23. 21st ACM International Conference on Intelligent User Interfaces 2018
  24. ACM Conference on Hypertext and Social Media 2018
  25. ACM Conference on Web Science 2018
  26. AAAI International Conference on Web Logs and Social Media 2018
  27. Workshop on Social Interaction-based Recommendation, co-located with CIKM 2018
  28. ACM Conference on Hypertext and Social Media 2017
  29. ACM Web Science Conference 2017
  30. 22nd ACM International Conference on Intelligent User Interfaces 2017
  31. European Conference on Technology-Enhanced Learning 2017
  32. European Conference on Knowledge Management 2017
  33. Workshop on Engineering Computer-Human Interaction in Recommender Systems 2016
  34. European Conference on Technology-Enhanced Learning 2016
  35. Second international conference on Intelligent Information Processing, Security and Advanced Communication 2016
  36. Third WWW Workshop on Big Scholarly Data: Towards the Web of Scholars 2016
  37. Learning Analytics for Workplace and Professional Learning 2016
  38. Workshop on Text-based Information Retrieval 2016
  39. Symposium on Human and Social Computing 2016
  40. 15th International Conference on Knowledge Technologies and Data-driven Business 2015
  41. Workshop on Text-based Information Retrieval 2015
  42. 14th International Conference on Knowledge Technologies and Data-driven Business 2014
  43. International Workshop on Social Personalisation 2014
  44. International Workshop on Modeling Social Media 2014
  45. Workshop on Text-based Information Retrieval 2014
  46. 11th International Conference on Fuzzy Systems and Knowledge Discovery 2014
  47. Workshop on Text-based Information Retrieval 2013
  48. Workshop on Text-based Information Retrieval 2012
  49. Cross-language Indian Text Reuse Challenge 2012
Selected Editorial Activities and Reviewing
  1. EPJ Data Science
  2. UMUAI
  3. Frontiers in Big Data: Recommender Systems section (review editor)
  4. Frontiers in Big Data and Mining (review editor)
  5. Transactions on Knowledge and Data Engineering
  6. Journal of Web Science
  7. Information Processing and Management
  8. International Journal of Human-Computer Studies
  9. Transactions on Learning Technologies
  10. International Journal of Information Technology and Management
  11. Information Retrieval Journal
  12. Web Intelligence
  13. Special Issue on Analyzing and Mining Social Networks for Decision Support, J.UCS
  14. Computers & Education
  15. IEEE Transactions on Audio, Speech and Language Processing
  16. STCSN E-Letter on Science 2.0, Co-Editor and Reviewer (2015)
Scientific Professional Affiliations and Community Activities
  • Member of advisory board GenerationR: Exploring new ways to research (since 2019)
  • Member of EU Expert Group on Altmetrics, DG Research and Innovation (2016/2017)
  • Advisory board of the non-profit organization Open Knowledge Maps (since 2017)
  • Member of Open Access Network Austria (since 2015)
  • Member of Leibnitz-Forschungsverbund Open Science (since 2015)
  • Member of the ACM
  • Member of Best Paper Judging Committee ACM WebScience (2015)

Talks



  • Algorithmen, Kuenstliche Intelligenz. Invited workshop for Ombud for Equal Treatment, Regional Office Styria, 2021
  • Using Human Memory Theory to Model and Predict the Preferences of (Non-Mainstream) Music Consumers. Keynote in the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (INTRS) workshop, co-located with ACM Conference on Recommender Systems 2020
  • Leveraging Data Science to Understand User Behavior in Digital Media. Invited talk at University of Tuebingen and Institute of Knowledge Media, Germany, 2020
  • Cognitive-inspired Recommender Systems. Invited talk at AAU Klagenfurt, Austria, 2020
  • Using Recommender Systems to improve Information Organization and Access. Invited talk at Christian-Albrecht University of Kiel, Germany, 2020
  • Automatische Bestimmung der Glaubwuerdigkeit von Sozialen Medien. Invited talk at TU Graz Top Think Megatrends #22: Social Media & Fake News, 2019
  • Algorithms and Biases: Sources or Remedy? Invited talk and panelist at Complex Systems perspectives on Algorithmic Bias (CSAB) workshop, co-located with ICWSM, 2019
  • Automatische Bestimmung der Glaubwuerdigkeit von Sozialen Medien. Invited talk at Ennstaler Kreis, 2019
  • Mitigating Confirmation Bias by Recommending Opposing Views. Pecha Kucha talk at European Symposium on Computational Social Science, 2018
  • Modeling User Behavior in RecSys: Psychology-inspired approaches. Invited talk at the Passauer Data Science Summit, 2018
  • The Future of Open Science in Research Policies. Panelist at the OpenUP final conference, 2018
  • The impact of user and network properties on opinion dynamics in online collaboration networks. Invited talk Complexity Hub - Social Informatics: En Route Towards Asimov’s Psychohistory?
  • Understanding, Predicting and Controlling Social Behavior in Complex Networks and Systems. Invited talk at Karlsruhe Institute of Technology, Institute AIFB, 2018
  • Cognitive-inspired Recommender Systems. Invited talk in the GESIS CSS seminar, 2017
  • Social Computing and Recommender Systems. Invited talk at ACIS at RWTH, 2017
  • Data-driven Innovation in Research and Education. Keynote at Didacta 2016.
  • Research Data Explored: Citations versus Altmetrics. Invited talk at Austrian Librarian Days 2015
  • Science 2.0 and Big Data. Invited talk at ABDOS Tagung 2015
  • Information Quality in Social Media. Invited talk at Faculty of Computer Science, UNSL Argentina. 2011

Press

  1. Musik-Algorithmen tun sich mit Hardrockern und Hip-Hop-Hoerern schwer, 2021 (Der Standard).
  2. Musik-Algorithmen tun sich mit Hardrockern und Hip-Hop schwer, 2021 (Die Presse).
  3. Algorithmen treffen nicht jeden Geschmack, 2021 (science.orf.at).
  4. Ecco perche l’algoritmo delle app di streaming non indovina i tuoi gusti musicali, 2021 (Rolling Stone Italia).
  5. Hard rock and hip-hop fans get less relevant music streaming recommendations than pop listeners, 2021 (The Academic Times).
  6. Wie die Welt funktioniert: CS Talks. - AirCampus - Podcasts der Grazer Universitaeten, 2019.
  7. Designing for Credibility & Trust: Guest Visit by Elisabeth Lex. Delft Design for Values Blog, 2019
  8. Going beyond just clicks and views: An interview with Dr. Elisabeth Lex. Technovation Blog, 2018.
  9. Chatter makes popular metric unreliable. Nature News Index, 2017
  10. Big Data and Data Science: Auf den Spuren der Zukunft. OCG Journal, 2016
  11. Ich bin Open Science! Der Bewegung ein Gesicht geben. YouTube
  12. ResearchGate Score: Good Example Of A Bad Metric. LSE Impact Blog, 2015
  13. Offene und datengetriebene Innovationen fuer Bildungsmedienanbieter. IPN Bibliothek Blog, 2015.
  14. Researchers working on blog credibility ranking systems. ArsTechnica, 2009
  15. Scientists Developing Web Site Credibility Tools