Selected Publications

Refereed Journal Articles

2017 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
2016 Tkalčič, M., Quercia, D. & Graf, S., 2016. Preface to the special issue on personality in personalized systems. User Modeling and User-Adapted Interaction, 26(2–3), pp.103–107. Available at: http://link.springer.com/10.1007/s11257-016-9175-9.
2016 Gemmis, M. de et al., 2016. Emotions and Personality in Personalized Systems. Interaction Design and Architecture(s) Journal – IxD&A, 28, pp.105–109.
2015 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. http://doi.org/10.1007/s11042-014-1933-2
2015 Impact Factor = 1.331
2013 Odić, A., Tkalčič, M., Tasic, J. F., & Košir, A. (2013). Predicting and Detecting the Relevant Contextual Information in a Movie-Recommender System. Interacting with Computers, 25(1), 74–90. http://doi.org/10.1093/iwc/iws003
2013 Impact Factor = 0.731
2013 Odić, A., Tkalčič, M., Tasič, J. F., & Košir, A. (2013). Impact of the Context Relevancy on Ratings Prediction in a Movie-Recommender System. Automatika – Journal for Control, Measurement, Electronics, Computing and Communications, 54(2), 252–262. http://doi.org/10.7305/automatika.54-2.258
2013 Impact Factor = 0.302
2013 Tkalčič, M., Košir, A., & Tasič, J. (2013). The LDOS-PerAff-1 corpus of facial-expression video clips with affective, personality and user-interaction metadata. Journal on Multimodal User Interfaces, 7(1-2), 143–155. http://doi.org/10.1007/s12193-012-0107-7
2013 Impact Factor = 0.462
2013 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. http://doi.org/10.1016/j.ins.2013.06.006
2013 Impact Factor = 3.893
2013 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. http://doi.org/10.1109/TMM.2012.2229970
2013 Impact Factor = 1.776
2011 Košir, A., Odić, A., Kunaver, M., Tkalčič, M., & Tasič, J. F. (2011). Database for contextual personalization. Elektrotehniški Vestnik, 78(5), 270–274. http://ev.fe.uni-lj.si/5-2011/Kosir.pdf
2011 Tkalčič, M., Košir, A., Dobravec, Š., & Tasič, J. (2011). Emotional properties of latent factors in an image recommender system. Elektrotehniški Vestnik, 78(4), 177–180. http://ev.fe.uni-lj.si/4-2011/Tkalcic.pdf
2010 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. http://doi.org/10.1007/s11257-010-9079-z
2010 Impact Factor = 3.074
2008 Grbec, S., Tkalčič, M., & Diaci, J. (2008). The influence of inertial loading on color gamut properties of a TFT LCD display. Displays, 29(1), 18–24. http://doi.org/10.1016/j.displa.2007.06.008
2008 Impact Factor = 1.768

Book Chapters

2016 Tkalčič, M., De Carolis, B., de Gemmis, M., Odić, A., & Košir, A. (2016). Introduction to Emotions and Personality in Personalized Systems. In M. Tkalcic, B. De Carolis, M. de Gemmis, A. Odic, & A. Košir (Eds.), Emotions and Personality in Personalized Services (pp. 3–11). Springer. http://doi.org/10.1007/978-3-319-31413-6_1
2016 Odić, A., Košir, A., & Tkalčič, M. (2016). Affective and Personality Corpora. In M. Tkalcic, B. De Carolis, M. de Gemmis, A. Odic, & A. Košir (Eds.), Emotions and Personality in Personalized Services (pp. 163–178). Springer. http://doi.org/10.1007/978-3-319-31413-6_9
2015 Tkalčič, M., & Chen, L. (2015). Personality and Recommender Systems. In F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender Systems Handbook (2nd ed.). pages 715-739, Springer, DOI 10.1007/978-1-4899-7637-6_21
2012 Tkalčič, M., Tasič, J. F., & Košir, A. (2012). The Need for Affective Metadata in Content-Based Recommender Systems for Images. In M. Maybury (Ed.), Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance, and Authoring. Wiley – IEEE Computer Society Press. http://doi.org/10.1002/9781118219546.ch19
2006 Tkalčič, M., & Pogačnik, M. (2006). Tourist Adapted Destination Selection. In R. Ovsenik & I. Kiereta (Eds.), Destination Management (pp. 195–209). Peter Lang.

Books

2011 Tkalčič, M., Košir, A., & Tasič, J. F. (2011). Emotive and personality parameters in recommender systems: Recognition and usage of user-centric data for user and item modeling in content retrieval systems. LAP LAMBERT Academic Publishing.
2011 Tkalčič, M. (2011). History of Color Spaces. Lulu. http://www.lulu.com/content/e-book/history-of-colour-spaces/11222083
Support independent publishing: Buy this e-book on Lulu.

Edited Volumes

2016 Tkalcic, M., De Carolis, B., de Gemmis, M., & Kosir, A. (Eds.). (2016). Proceedings of the 4th Workshop on Emotions and Personality in Personalized Systems co-located with ACM Conference on Recommender Systems (RecSys 2016). ceur. Retrieved from http://ceur-ws.org/Vol-1680/
2016 Tkalčič, M., Carolis, B. De, Gemmis, M. de, Odić, A., & Košir, A. (Eds.). (2016). Emotions and Personality in Personalized Services. Springer International Publishing. http://doi.org/10.1007/978-3-319-31413-6
2003 Zajc, B., & Tkalčič, M. (Eds.). (2003). Proceedings of The IEEE Region 8 EUROCON 2003. Computer as a Tool. EUROCON 2003. Computer as a Tool. The IEEE Region 8. IEEE. http://doi.org/10.1109/EURCON.2003.1247965

Conference Proceedings

2017 Ferwerda, B., Graus, M. P., & Schedl, M. (2017). How Item Discovery Enabled by Diversity Leads to Increased Recommendation List Attractiveness. In ACM SAC 2017 (pp. 1–4).
2016 Ferwerda, B., Graus, M., & Schedl, M. (2016). The Influence of Users ’ Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists. In M. Tkalcic, B. De Carolis, M. de Gemmis, & A. Košir (Eds.), Proceedings of the 4th Workshop on Emotions and Personality in Personalized Systems co-located with ACM Conference on Recommender Systems (RecSys 2016). Boston, MA. Retrieved from http://ceur-ws.org/Vol-1680/
2016 Ferwerda, B., Schedl, M., & Tkalčič, M. (2016). Personality Traits and the Relationship with ( Non- ) Disclosure Behavior on Facebook. WWW’16 Companion. https://doi.org/10.1145/2872518.2890085
2016 Schedl, M., Eghbal-zadeh, H., Gomez, E., & Tkalčič, M. (2016). AN ANALYSIS OF AGREEMENT IN CLASSICAL MUSIC PERCEPTION AND ITS RELATIONSHIP TO LISTENER CHARACTERISTICS. In Proceedings of the 17th ISMIR Conference, New York City, USA, August 7-11, 2016 (pp. 578–583).
2016 Schedl, M., Hauger, D., Tkalcic, M., Melenhorst, M., & Liem, C. C. S. (2016). A dataset of multimedia material about classical music: PHENICX-SMM. In 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI) (pp. 1–4). IEEE. https://doi.org/10.1109/CBMI.2016.7500240
2016 Tkalcic, M., De Carolis, B., de Gemmis, M., & Kosir, A. (2016). 4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE). In M. Tkalčič, B. De Carolis, M. de Gemmis, A. Odić, & A. Košir (Eds.), Proceedings of the 10th ACM Conference on Recommender Systems – RecSys ’16 (Vol. 28, pp. 407–407). New York, New York, USA: ACM Press. https://doi.org/10.1145/2959100.2959201
2016 Tkalčič, M., Schedl, M., Liem, C. C. S. S., & Melenhorst, M. S. (2016). Personalized Retrieval and Browsing of Classical Music and Supporting Multimedia Material. In Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval – ICMR ’16 (pp. 393–396). New York, New York, USA: ACM Press. https://doi.org/10.1145/2911996.2912023
2016 Motajcsek, T. et al., 2016. Algorithms Aside. In Proceedings of the 10th ACM Conference on Recommender Systems – RecSys ’16. New York, New York, USA: ACM Press, pp. 215–219. Available at: http://dl.acm.org/citation.cfm?doid=2959100.2959164.
2016 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, pp.143–146. Available at: http://dl.acm.org/citation.cfm?doid=2959100.2959142.
2016 Ferwerda, B., Vall, A., Tkalcic, M., & Schedl, M. (2016). Exploring Music Diversity Needs Across Countries. In Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization – UMAP ’16 (pp. 287–288). New York, New York, USA: ACM Press. http://doi.org/10.1145/2930238.2930262
2016 Skowron, M., Ferwerda, B., Schedl, M., Tkalcic, M., Fusing Social Media Cues: Personality Prediction from Twitter and Instagram , WWW 2016 poster
2016 Schedl, Markus, Melenhorst, Mark, Liem, Cynthia C S, Domingez, Agustin, Mayor, Óscar, Tkalčič, Marko, A Personality-based Adaptive System for Visualizing Classical Music Performances. MMSys 2016 (2016).
2016 Ferwerda, B., Schedl, M. & Tkalcic, M., Using Instagram Picture Features to Predict Users’ Personality, in Multimedia Modeling (22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part I) (eds. Tian, Q. et al.) 9516, 850–861 (Springer International Publishing, 2016). http://link.springer.com/10.1007/978-3-319-27671-7_71
2015 Ferwerda B., Schedl, M., & Tkalcic, M. (2015). Predicting Personality Traits with Instagram Pictures. In EMPIRE ’15 Proceedings of the 3rd Workshop on Emotions and Personality in Personalized Systems 2015, Pages 7-10, ACM New York, NY, USA, ISBN: 978-1-4503-3615-4 http://doi.org/10.1145/2809643.2809644
2015 Ferwerda, B., Schedl, M., & Tkalcic, M. (2015). Personality & Emotional States: Understanding Users’ Music Listening Needs. In A. Cristea, J. Masthoff, A. Said, & N. Tintarev (Eds.), UMAP 2015 Extended Proceedings. http://ceur-ws.org/Vol-1388/
2015 Ferwerda, B., Yang, E., Schedl, M., & Tkalcic, M. (2015). Personality Traits Predict Music Taxonomy Preferences. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems – CHI EA ’15 (pp. 2241–2246). http://doi.org/10.1145/2702613.2732754
2015 Schedl, M., Hauger, D., Farrahi, K., & Tkalčič, M. (2015). On the Influence of User Characteristics on Music Recommendation Algorithms. In A. Hanbury, G. Kazai, A. Rauber, & N. Fuhr (Eds.), Advances in Information Retrieval Lecture Notes in Computer Science (Vol. 9022, pp. 339–345). Springer. http://link.springer.com/chapter/10.1007/978-3-319-16354-3_37
2015 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 (pp. 364–369). http://doi.org/10.1007/978-3-319-20267-9 32
2014 Farrahi, K., Schedl, M., Vall, A., Hauger, D., & Tkalcic, M. (2014). Impact of Listening Behavior on Music Recommendation. In ISMIR 2014.
2014 Ferwerda, B., Schedl, M., & Tkalcic, M. (2014). To Post or Not to Post : The Effects of Persuasive Cues and Group Targeting Mechanisms on Posting Behavior. In 2014 ASE BIGDATA/SOCIALCOM/CYBERSECURITY Conference, Stanford University, May 27-31, 2014. http://www.ase360.org/handle/123456789/53
2014 Košir, A., Odić, A., Tkalčič, M., & Svetina, M. (2014). Human decisions in user modeling : motivation , procedure and example application. In I. Cantador, M. Chi, R. Farzan, & R. Jäschke (Eds.), UMAP 2014 Extended Proceedings. http://ceur-ws.org/Vol-1181/empire2014_paper_03.pdf
2014 Schedl, M., & Tkalčič, M. (2014). Genre-based Analysis of Social Media Data on Music Listening Behavior. In R. Zimmerman & Y. Yu (Eds.), Proceedings of the First International Workshop on Internet-Scale Multimedia Management – WISMM ’14 (pp. 9–13). New York, New York, USA: ACM Press. http://doi.org/10.1145/2661714.2661717
2014 Tkalčič, M., Ferwerda, B., Schedl, M., Liem, C., Melenhorst, M., Odić, A., & Košir, A. (2014). Using social media mining for estimating theory of planned behaviour parameters. In I. Cantador, M. Chi, R. Farzan, & R. Jäschke (Eds.), UMAP 2014 Extended Proceedings (Vol. 1181). http://ceur-ws.org/Vol-1181/empire2014_paper_06.pdf
2013 Elahi, M., Braunhofer, M., Ricci, F., & Tkalcic, M. (2013). Personality-based active learning for collaborative filtering recommender systems. In M. Baldoni, C. Baroglio, G. Boella, & O. Micalizio (Eds.), AI*IA 2013: Advances in Artificial Intelligence (pp. 360–371). http://doi.org/10.1007/978-3-319-03524-6_31
2013 Hauger, D., Schedl, M., Košir, A., & Tkalcic, M. (2013). The Million Musical Tweet Dataset: What We Can Learn From Microblogs. In ISMIR 2013.
2013 Košir, A., Odić, A., & Tkalčič, M. (2013). How to improve the statistical power of the 10-fold cross validation scheme in recommender systems. In A. Bellogín, P. Castells, A. Said, & D. Tikk (Eds.), Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation – RepSys ’13 (pp. 3–6). New York, New York, USA: ACM Press. http://doi.org/10.1145/2532508.2532510
2013 Odić, A., Tkalčič, M., & Košir, A. (2013). Managing Irrelevant Contextual Categories in a Movie Recommender System. In L. Chen, M. de Gemmis, A. Felfernig, P. Lops, F. Ricci, G. Semeraro, & M. Willemsen (Eds.), RecSys’13 Workshop on Human Decision Making in Recommender Systems, 2013, Hong Kong. http://ceur-ws.org/Vol-1050/paper5.pdf
2013 Odić, A., Tkalčič, M., Tasič, J. F., & Košir, A. (2013). Personality and Social Context: Impact on Emotion Induction from Movies. In S. Berkovsky, E. Herder, P. Lops, & O. C. Santos (Eds.), UMAP 2013 Extended Proceedings. http://ceur-ws.org/Vol-997/empire2013_paper_5.pdf
2013 Tkalčič, M., Burnik, U., Odić, A., Košir, A., & Tasič, J. F. (2013). Emotion-Aware Recommender Systems—A Framework and a Case Study. In S. Markovski & M. Gusev (Eds.), ICT Innovations 2012 Advances in Intelligent Systems and Computing (Vol. 207, pp. 141–150). Berlin, Heidelberg: Springer Berlin Heidelberg. http://doi.org/10.1007/978-3-642-37169-1_14
2013 Vodlan, T., Tkalcic, M., & Kosir, A. (2013). The Role of Social Signals in Telecommunication : Experimental Design. In S. Berkovsky, E. Herder, P. Lops, & O. C. Santos (Eds.), UMAP 2013 Extended Proceedings. http://ceur-ws.org/Vol-997/empire2013_paper_6.pdf
2012 Odić, A., Tkalčič, M., Tasič, J. F., & Košir, A. (2012). Relevant Context in a Movie Recommender System : Users ’ Opinion vs . Statistical Detection. In G. Adomavicius, L. Baltrunas, E. W. de Luca, T. Hussein, & A. Tuzhilin (Eds.), Proceedings of the 4th Workshop on Context-Aware Recommender Systems in conjunction with the 6th ACM Conference on Recommender Systems (RecSys 2012). http://ceur-ws.org/Vol-889/paper2.pdf
2012 Tkalčič, M., Odić, A., Košir, A., & Tasič, J. (2012). Exploiting implicit affective labeling for image recommendations. In J. Wang, J. del R. Millán, & S. Cho (Eds.), Conference Proceedings – IEEE International Conference on Systems, Man and Cybernetics (pp. 3321–3326). http://doi.org/10.1109/ICSMC.2012.6378304
2011 Tkalcic, M., Kunaver, M., Košir, A., & Tasic, J. (2011). Addressing the new user problem with a personality based user similarity measure. In F. Ricci, G. Semeraro, M. de Gemmis, P. Lops, J. Masthoff, F. Grasso, & J. Ham (Eds.), Joint Proceedings of the Workshop on Decision Making and Recommendation Acceptance Issues in Recommender Systems (DEMRA 2011) and the 2nd Workshop on User Models for Motivational Systems: The affective and the rational routes to persuasion (UMMS 2011). http://ceur-ws.org/Vol-740/DEMRA_UMMS_2011_proceedings.pdf#page=106
2011 Tkalčič, M., Odić, A., Košir, A., & Tasič, J. (2011). Impact of Implicit and Explicit Affective Labeling on a Recommender System’s Performance. Joint Proceedings of the Workshop on Decision Making and Recommendation Acceptance Issues in Recommender Systems (DEMRA 2011) and the 2nd Workshop on User Models for Motivational Systems: The Affective and the Rational Routes to Persuasion (UMMS 2011), 112. http://ceur-ws.org/Vol-740/UMMS2011_paper7.pdf
2009 Tkalčič, M., Kunaver, M., Tasič, J., & Košir, A. (2009). Personality Based User Similarity Measure for a Collaborative Recommender System. In C. Peter, E. Crane, L. Axelrod, H. Agius, S. Afzal, & M. Balaam (Eds.), 5th Workshop on Emotion in Human-Computer Interaction-Real World Challenges (p. 30). http://publica.fraunhofer.de/documents/N-113443.html
2009 Tkalčič, M., Tasič, J., & Košir, A. (2009). The LDOS-PerAff-1 Corpus of Face Video Clips with Affective and Personality Metadata. In M. Kipp, J.-C. Martin, P. Paggio, & D. Heylen (Eds.), Proceedings of Multimodal Corpora: Advances in Capturing, Coding and Analyzing Multimodality (Malta, 2010), LREC (p. 111). http://embots.dfki.de/doc/MMC2010-Proceedings.pdf
2009 Tkalčič, M., Tasič, J. F., & Košir, A. (2009). Emotive and Personality Parameters in Multimedia Recommender Systems. In A. Vinciarelli, C. Pelachaud, R. Cowie, & A. Nijholt (Eds.), Affective Computing and Intelligent Interaction PROCEEDINGS OF THE DOCTORAL CONSORTIUM 2009 (1st ed., p. 33). CTIT Workshop Proceedings Series WP09-13. http://www.utwente.nl/ctit/library/proceedings/wp0913.pdf
2003 Tkalčič, M., & Tasic, J. F. (2003). Colour spaces: perceptual, historical and applicational background. In B. Zajc & M. Tkalčič (Eds.), The IEEE Region 8 EUROCON 2003. Computer as a Tool. (Vol. 1, pp. 304–308). Proceedings of the IEEE Region 8 EUROCON 2003. Computer as a Tool. http://doi.org/10.1109/EURCON.2003.1248032
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