Marko Tkalčič

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
Personal website

Bio

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.

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Teaching

Research

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.

Selected Publications

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

 

 


Last updated on Sep 25, 2017. Created using TSPW and pandoc.