Assistant Professor (RTD)
Free University of Bozen-Bolzano Faculty of Computer Science
Piazza Domenicani 3, I-39100 Bozen-Bolzano, Italy
E-mail: marko.tkalcic at unibz.it
Office: POS 1.13
I am assistant professor (RTD) at the Free University of Bozen-Bolzano Faculty of Computer Science. Before this, I was a postdoc fellow at the Johannes Kepler University, Department of Computational Perception and a postdoc fellow at the University of Ljubljana Faculty of Electircal Enginnering.
If you would like to discuss research in the form of theses or internships, please contact me via email and visit me in my office.
My research interests are in exploiting psychologically motivated constructs, such as personality and emotions, to improve recommender systems and personalized systems in general. I apply user studies and crawl social media to acquire data. I use image processing techniques and NLP to extract features. I exploit recommender systems algorithms to personalize content.
Schedl, M., Gomez, E., Trent, E., Tkalcic, M., Eghbal-Zadeh, H., & Martorell, A. (2017). On the Interrelation between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music. IEEE Transactions on Affective Computing, 1–1. https://doi.org/10.1109/TAFFC.2017.2663421
Kalloori, S., Ricci, F., & Tkalcic, M. (2016). Pairwise Preferences Based Matrix Factorization and Nearest Neighbor Recommendation Techniques. Proceedings of the 10th ACM Conference on Recommender Systems - RecSys ’16, 143–146. https://doi.org/10.1145/2959100.2959142
Skowron, M., Ferwerda, B., Tkalčič, M., & Schedl, M. (2016). Fusing Social Media Cues : Personality Prediction from Twitter and Instagram. WWW’16 Companion, 2–3. https://doi.org/10.1145/2872518.2889368
Tkalčič, M., Ferwerda, B., Hauger, D., & Schedl, M. (2015). Personality Correlates for Digital Concert Program Notes. In UMAP 2015, Lecture Notes On Computer Science 9146 (Vol. 9146, pp. 364–369). https://doi.org/10.1007/978-3-319-20267-9_32
Vodlan, T., Tkalčič, M., & Košir, A. (2015). The impact of hesitation, a social signal, on a user’s quality of experience in multimedia content retrieval. Multimedia Tools and Applications, 74(17), 6871–6896. https://doi.org/10.1007/s11042-014-1933-2
Tkalčič, M., Odić, A., & Košir, A. (2013). The impact of weak ground truth and facial expressiveness on affect detection accuracy from time-continuous videos of facial expressions. Information Sciences, 249, 13–23. https://doi.org/10.1016/j.ins.2013.06.006
Tkalčič, M., Odić, A., Košir, A., & Tasič, J. (2013). Affective labeling in a content-based recommender system for images. IEEE Transactions on Multimedia, 15(2), 391–400. https://doi.org/10.1109/TMM.2012.2229970
Tkalčič, M., Burnik, U., & Košir, A. (2010). Using affective parameters in a content-based recommender system for images. User Modelling and User-Adapted Interaction, 20(4), 279–311. https://doi.org/10.1007/s11257-010-9079-z