Marko Tkalčič

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Publications

Link to my Google Scholar Profile. If you are further interested in my work, please download my CV.

Journal Papers

J12
Schedl, M., Gomez, E., Trent, E., Tkalčič, 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
J11
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
J10
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
J9
Odić, A., Tkalčič, M., Tasič, J. F., & Košir, A. (2013). Predicting and Detecting the Relevant Contextual Information in a Movie-Recommender System. Interacting with Computers, 25(1), 74–90. https://doi.org/10.1093/iwc/iws003
J8
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. https://doi.org/10.1007/s12193-012-0107-7
J7
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. https://doi.org/10.7305/automatika.54-2.258
J6
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
J5
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. Retrieved from http://ev.fe.uni-lj.si/4-2011/Tkalčič.pdf
J4
Košir, A., Odić, A., Kunaver, M., Tkalčič, M., & Tasič, J. F. (2011). Database for contextual personalization. Elektrotehniški Vestnik, 78(5), 270–274. Retrieved from http://ev.fe.uni-lj.si/5-2011/Kosir.pdf
J3
Tkalčič, M., Kosir, A., & Tasic, J. (2011). Usage of affective computing in recommender systems. Elektrotehniski Vestnik/Electrotechnical Review, 78(1–2), 12–17. Retrieved from http://ev.fe.uni-lj.si/1-2-2011/Tkalčič.pdf
J2
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
J1
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. https://doi.org/10.1016/j.displa.2007.06.008

Conference Papers

C24
Ferwerda, B., Tkalčič, M., Predicting Users’ Personality from Instagram Pictures: Using Visual and/or Content Features?, In UMAP ’18: 26th Conference on User Modeling, Adaptation and Personalization, July 8--11, 2018, Singapore, Singapore. ACM.
C23
Tkalčič, M., & Ferwerda, B. (2018). Eudaimonic Modeling of Moviegoers. In UMAP ’18: 26th Conference on User Modeling, Adaptation and Personalization, July 8--11, 2018, Singapore, Singapore. ACM. https://doi.org/10.1145/3209219.3209249
C22
Ferwerda, B., Tkalčič, M., & Schedl, M. (2017). Personality Traits and Music Genres. In Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization - UMAP ’17 (pp. 285–288). New York, New York, USA: ACM Press. https://doi.org/10.1145/3079628.3079693
C21
Ferwerda, B., Graus, M. P., Vall, A., Tkalčič, M., & Schedl, M. (2017). How item discovery enabled by diversity leads to increased recommendation list attractiveness. In Proceedings of the Symposium on Applied Computing - SAC ’17 (pp. 1693–1696). New York, New York, USA: ACM Press. https://doi.org/10.1145/3019612.3019899
C20
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
C19
Ferwerda, B., Schedl, M., & Tkalčič, M. (2016). Using Instagram Picture Features to Predict Users’ Personality. In Q. Tian, N. Sebe, G.-J. Qi, B. Huet, R. Hong, & X. Liu (Eds.), Multimedia Modeling (22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part I) (Vol. 9516, pp. 850–861). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-27671-7_71
C18
Schedl, M., Hauger, D., Tkalčič, 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
C17
Kalloori, S., Ricci, F., & Tkalčič, 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
C16
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).
C15
Ferwerda, B., Vall, A., Tkalčič, 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. https://doi.org/10.1145/2930238.2930262
C14
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
C13
Motajcsek, T., Dobrajs, K., Garzotto, F., Göker, A., Hopfgartner, F., Malagoli, D., Tkalčič, M., ... Demetriou, A. (2016). Algorithms Aside. In Proceedings of the 10th ACM Conference on Recommender Systems - RecSys ’16 (pp. 215–219). New York, New York, USA: ACM Press. https://doi.org/10.1145/2959100.2959164
C12
Schedl, M., Melenhorst, M., Liem, C. C. S., Martorell, A., Mayor, Ó., Tkalčič, M., (2016). A Personality-based Adaptive System for Visualizing Classical Music Performances. In Proceedings of the 7th International Conference on Multimedia Systems - MMSys ’16 (pp. 1–7). New York, New York, USA: ACM Press. https://doi.org/10.1145/2910017.2910604
C11
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
C10
Ferwerda, B., Yang, E., Schedl, M., & Tkalčič, 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). https://doi.org/10.1145/2702613.2732754
C9
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.), ECIR 2016, Advances in Information Retrieval Lecture Notes in Computer Science (Vol. 9022, pp. 339–345). Springer. https://doi.org/10.1007/978-3-319-16354-3_37
C8
Ferwerda, B., Schedl, M., & Tkalčič, M. (2015). Personality & Emotional States : Understanding Users ’ Music Listening Needs. In A. Cristea, J. Masthoff, A. Said, & N. Tintarev (Eds.), UMAP 2015 Extended Proceedings. Retrieved from http://ceur-ws.org/Vol-1388/
C7
Farrahi, K., Schedl, M., Vall, A., Hauger, D., & Tkalčič, M. (2014). Impact of Listening Behavior on Music Recommendation. In ISMIR 2014. Retrieved from http://www.cp.jku.at/people/schedl/Research/Publications/pdf/farrahi_ismir_2014.pdf
C6
Ferwerda, B., Schedl, M., & Tkalčič, 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. Retrieved from http://www.cp.jku.at/research/papers/Ferwerda_etal_SocialCom_2014.pdf
C5
Elahi, M., Braunhofer, M., Ricci, F., & Tkalčič, M. (2013). Personality-based active learning for collaborative filtering recommender systems. In M. Baldoni, C. Baroglio, G. Boella, & O. Micalizio (Eds.), AIxIA 2013: Advances in Artificial Intelligence (pp. 360–371). https://doi.org/10.1007/978-3-319-03524-6_31
C4
Hauger, D., Schedl, M., Košir, A., & Tkalčič, M. (2013). The Million Musical Tweet Dataset: What We Can Learn From Microblogs. In ISMIR 2013. Retrieved from http://www.cp.jku.at/people/schedl/Research/Publications/pdf/hauger_ismir_2013.pdf
C3
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. https://doi.org/10.1007/978-3-642-37169-1_14
C2
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). https://doi.org/10.1109/ICSMC.2012.6378304
C1
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. https://doi.org/10.1109/EURCON.2003.1248032

Demos

D2
Tkalčič, M., Maleki, N., Pesek, M., Elahi, M., Ricci, F., & Pesek, M. (n.d.). A Research Tool for User Preferences Elicitation with Facial Expressions. In ACM RecSys 2017 Demo (pp. 1–2). https://doi.org/10.1145/3109859.3109978
D1
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

Workshop Papers

W20
Ferwerda, B., & Tkalčič, M. (2018). You Are What You Post : What the Content of Instagram Pictures Tells About Users ’ Personality. In Joint Proceedings of the ACM IUI 2018 Workshops.
W19
Ferwerda, B., Tkalčič, M., & Schedl, M. (2017). Personality Traits and Music Genre Preferences: How Music Taste Vary Over Age Groups. In RecTemp Workshop in conjunction with Recsys 2017, Como, Italy
W18
Ferwerda, B., Graus, M., & Schedl, M. & Tkalčič, M. (2016). The Influence of Users ’ Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists. In M. Tkalčič, 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/
W17
Knees, P., Andersen, K., & Tkalčič, M. (2015). “I’d like it to do the opposite ”: Music-Making Between Recommendation and Obstruction. In M. Ge & F. Ricci (Eds.), Proceedings of the 2nd International Workshop on Decision Making and Recommender Systems (pp. 1–7).
W16
Ferwerda, B., Schedl, M., & Tkalčič, M. (2015). Predicting Personality Traits with Instagram Pictures. In M. Tkalčič, B. De Carolis, M. de Gemmis, A. Odić, & A. Košir (Eds.), Proceedings of the 3rd Workshop on Emotions and Personality in Personalized Systems 2015 - EMPIRE ’15 (pp. 7–10). New York, New York, USA: ACM Press. https://doi.org/10.1145/2809643.2809644
W15
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. https://doi.org/10.1145/2661714.2661717
W14
Tkalčič, M., de Gemmis, M., & Semeraro, G. (2014). Personality and Emotions in Decision Making and Recommender Systems. In M. Ge & F. Ricci (Eds.), Proceedings of the First International Workshop on Decision Making and Recommender Systems (DMRS2014) Bolzano, Italy, September 18-19, 2014. Retrieved from http://ceur-ws.org/Vol-1278/paper3.pdf
W13
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. Retrieved from http://ceur-ws.org/Vol-1181/empire2014_paper_03.pdf
W12
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). Retrieved from http://ceur-ws.org/Vol-1181/empire2014_paper_06.pdf
W11
Vodlan, T., Tkalčič, 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. Retrieved from http://ceur-ws.org/Vol-997/empire2013_paper_6.pdf
W10
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. https://doi.org/10.1145/2532508.2532510
W9
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. Retrieved from http://ceur-ws.org/Vol-1050/paper5.pdf
W8
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. Retrieved from http://ceur-ws.org/Vol-997/empire2013_paper_5.pdf
W7
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). Retrieved from http://ceur-ws.org/Vol-889/paper2.pdf
W6
Tkalčič, M., Kunaver, M., Košir, A., & Tasič, 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). Retrieved from http://ceur-ws.org/Vol-740/DEMRA_UMMS_2011_proceedings.pdf#page=106
W5
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. Retrieved from http://ceur-ws.org/Vol-740/UMMS2011_paper7.pdf
W4
Tkalčič, M., Košir, A., Tasič, J., & Kunaver, M. (2011). Affective recommender systems: the role of emotions in recommender systems. In A. Felfernig, L. Chen, M. Mandl, M. Willemsen, D. Bollen, & M. Ekstrand (Eds.), Joint proceedings of the RecSys 2011 Workshop on Human Decision Making in Recommender Systems (Decisions@RecSys’11) and User-Centric Evaluation of Recommender Systems and Their Interfaces-2 (UCERSTI 2) affiliated with the 5th ACM Conference on Recommender (pp. 9–13). Retrieved from http://ceur-ws.org/Vol-811/paper2.pdf
W3
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). Retrieved from http://embots.dfki.de/doc/MMC2010-Proceedings.pdf
W2
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). Retrieved from http://publica.fraunhofer.de/documents/N-113443.html
W1
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. Retrieved from http://www.utwente.nl/ctit/library/proceedings/wp0913.pdf

Books, Edited Volumes and Book Chapters

B13
Felfernig, A., Boratto, L., Stettinger, M., & Tkalčič, M. (2018). Group Recommender Systems. Springer International Publishing. https://doi.org/10.1007/978-3-319-75067-5
B12
Tkalčič, M., Delić, A., & Felfernig, A. (2018). Personality, Emotions, and Group Dynamics. In A. Felfernig, L. Boratto, Martin Stettinger, & M. Tkalčič (Eds.), Group Recommender Systems An Introduction (pp. 157–167). https://doi.org/10.1007/978-3-319-75067-5_9
B11
Tkalčič, M. (2017). Emotions and Personality in Recommender Systems. In Encyclopedia of Social Network Analysis and Mining (2nd ed., pp. 1–9). Springer New York. https://doi.org/10.1007/978-1-4614-7163-9_110161-1
B10
Tkalčič, M., Thakker, D., Germanakos, P., Yacef, K., Paris, C., & Santos, O. (Eds.). (2017). Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization. ACM New York, NY, USA. Retrieved from http://dl.acm.org/citation.cfm?id=3099023
B9
Odić, A., Košir, A., & Tkalčič, M. (2016). Affective and Personality Corpora. In M. Tkalčič, B. De Carolis, M. de Gemmis, A. Odic, & A. Košir (Eds.), Emotions and Personality in Personalized Services (pp. 163–178). Springer. https://doi.org/10.1007/978-3-319-31413-6_9
B8
Tkalčič, M., De Carolis, B., de Gemmis, M., Odić, A., & Košir, A. (2016). Introduction to Emotions and Personality in Personalized Systems. In M. Tkalčič, B. De Carolis, M. de Gemmis, A. Odic, & A. Košir (Eds.), Emotions and Personality in Personalized Services (pp. 3–11). Springer. https://doi.org/10.1007/978-3-319-31413-6_1
B7
Tkalčič, M., Carolis, B. De, Gemmis, M. de, Odić, A., & Košir, A. (Eds.). (2016). Emotions and Personality in Personalized Services. Springer International Publishing. https://doi.org/10.1007/978-3-319-31413-6
B6
Tkalčič, M., De Carolis, B., de Gemmis, M., Odić, A., & Košir, A. (2016). Proceedings of the 4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE 2016), Boston, MA, USA, September 16, 2016. http://ceur-ws.org/Vol-1680/
B5
Tkalčič, M., & Chen, L. (2015). Personality and Recommender Systems. In F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender Systems Handbook (2nd ed., Vol. 54, pp. 715–739). Boston, MA: Springer US. https://doi.org/10.1007/978-1-4899-7637-6_21
B4
Tkalčič, M., De Carolis, B., de Gemmis, M., Odić, A., & Košir, A. (2015). Proceedings of the 3rd Workshop on Emotions and Personality in Personalized Systems 2015, http://dl.acm.org/citation.cfm?id=2809643&preflayout=flat#source
B3
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. https://doi.org/10.1002/9781118219546.ch19
B2
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.
B1
Tkalčič, M., & Pogačnik, M. (2006). Tourist Adapted Destination Selection. In R. Ovsenik & I. Kiereta (Eds.), Destination Management (pp. 195–209). Peter Lang. Retrieved from http://www.peterlang.de/index.cfm?event=cmp.ccc.seitenstruktur.detailseiten&seitentyp=produkt&pk=39292&CFID=200073&CFTOKEN=50206088

Other

O2
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), 103–107. https://doi.org/10.1007/s11257-016-9175-9 (non peer reviewed)
O1
Gemmis, M. de, Carolis, N. De, Košir, A., & Tkalčič, M. (2016). Emotions and Personality in Personalized Systems. Interaction Design and Architecture(s) Journal - IxD&A, 28, 105–109. (non peer reviewed)

 

 


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