Publications | Marko Tkalčič

2026

Editorials Tkalčič, M., Tommasel, A., Mauro, N., Tintarev, N., & Said, A. (2026). Introduction to the Special Issue on Recommender Systems for Good. ACM Transactions on Recommender Systems, 1–6. https://doi.org/10.1145/3816030
Conference paper Sergaš, U., Wagne, A., Kolb, T. E., Neidhardt, J., Ferwerda, B., & Tkalčič, M. (2026). Prompt to Press: Evaluating Human Perception of AI Involvement in News Writing Across Prompt Specificity [poster]. Companion Proceedings of the 31st International Conference on Intelligent User Interfaces (IUI 2026), 89–92. https://doi.org/10.1145/3742414.3795097
Workshop paper Seyyedhosseinzadeh, K., Pesek, M., & Tkalčič, M. (2026). What do Listeners Attend to When Listening to Music? Toward Explainable Music Recommendations [workshop paper]. ExUM 2026, Joint Proceedings of the ACM UMAP 2026 Workshops, CEUR Workshop Proceedings, 4206, 10–18. https://ceur-ws.org/Vol-4206/ExUM-2.pdf
Workshop paper Sergaš, U., Tkalčič, M., & Ferwerda, B. (2026). Evaluating Depolarization-Oriented News Ranking Strategies Using LLM-Generated Articles [workshop paper]. INRA 2026, Joint Proceedings of the ACM UMAP 2026 Workshops, CEUR Workshop Proceedings, 4206, 118–126. https://ceur-ws.org/Vol-4206/INRA-2.pdf
Conference paper Ferrato, A., Sansonetti, G., & Tkalčič, M. (2026). On the Role of Dwell Time for Implicitly Profiling Museum Visitors [short paper]. Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2026), 413–417. https://doi.org/10.1145/3774935.3806782
Conference paper Kastelli, S., Takács, N., Tkalčič, M., & Ferwerda, B. (2026). Evaluating Vibrotactile Feedback: Usability and User Experience in Glove vs. Non-Glove Conditions [late-breaking results]. Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2026), 480–483. https://doi.org/10.1145/3774935.3812722
Conference paper Frössling, C., Sergaš, U., Tkalčič, M., & Ferwerda, B. (2026). Game On for News: Stance-Aware Gamification in a News Aggregator to Promote Engagement with Diverse Viewpoints [late-breaking results]. Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2026), 494–497. https://doi.org/10.1145/3774935.3812712
Conference paper Riemann, J., Alt, J., Sergaš, U., Tkalčič, M., & Ferwerda, B. (2026). Progress Feedback for Countering Selective Exposure: When Visualization Can Backfire [late-breaking results]. Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2026), 536–539. https://doi.org/10.1145/3774935.3812732

2025

Journal article Jannach, D., Said, A., Tkalčič, M., & Zanker, M. (2025). Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters. ACM Trans. Recomm. Syst. https://doi.org/10.1145/3746648
Conference paper Golubovikj, A. M., & Tkalčič, M. (2025). Rethinking Subjective Features in Recommender Systems: Personal Views Over Aggregated Values. Proceedings of the Nineteenth ACM Conference on Recommender Systems, RecSys ’25, 1279–1283. https://doi.org/10.1145/3705328.3759316
Conference paper Golubovikj, A. M., Ferwerda, B., Said, A., & Tkalčič, M. (2025). Soundtracks of Our Lives: How Age Influences Musical Preferences. Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, UMAP Adjunct ’25, 93–97. https://doi.org/10.1145/3708319.3733673
Editorials Lex, E., Innerebner, K., Tkalčič, M., Kowald, D., & Schedl, M. (2025). Hybrid AI for Human-Centric Personalization (HyPer). Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2025), 336–338. https://doi.org/10.1145/3708319.3727563
Tutorial paper Schedl, M., Lex, E., & Tkalčič, M. (2025). Psychological Aspects in Retrieval and Recommendation. Tutorial at SIGIR 2025, 4114–4117. https://doi.org/10.1145/3726302.3731691
Tutorial paper De Luca, E. W., Joers, J. M., & Tkalčič, M. (2025). Designing Intelligent User Interfaces for Well-Being (Tutorial). UMAP 2025 Adjunct Proceedings, 8–9. https://doi.org/10.1145/3708319.3727564

2024

Workshop paper Grbec, G., Bašić, N., & Tkalčič, M. (2024). Ranking Footballers with Multilevel Modeling. In S. Kolmanič, M. Kljun, M. Tkalčič, & K. Č. Pucihar (Eds.), Proceedings of the 8th Human-Computer Interaction Slovenia (HCI SI) Conference 2023 (Vol. 3657, pp. 95–101). CEUR. https://ceur-ws.org/Vol-3657/#paper11
Workshop paper Golubovikj, A. M., Mokryn, O., & Tkalčič, M. (2024). Intended Movie Experience: Linking Elicited Emotions to Eudaimonic and Hedonic Characteristics. In P. Brusilovsky, M. de Gemmis, A. Felfernig, M. Polignano, G. Semeraro, & M. C. Willemsen (Eds.), Proceedings of the 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (Vol. 3815, pp. 103–112). CEUR. https://ceur-ws.org/Vol-3815/#paper9
Editorials Boratto, L., Felfernig, A., Stettinger, M., & Tkalčič, M. (2024). Preface on the special issue on group recommender systems. User Modeling and User-Adapted Interaction, 34(3), 483–487. https://doi.org/10.1007/s11257-024-09408-y
Journal article Bevec, M., Tkalčič, M., & Pesek, M. (2024). Hybrid music recommendation with graph neural networks. User Modeling and User-Adapted Interaction. https://doi.org/10.1007/s11257-024-09410-4
Journal article Motamedi, E., Kholgh, D. K., Saghari, S., Elahi, M., Barile, F., & Tkalčič, M. (2024). Predicting movies’ eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features. Information Processing & Management, 61(2), 103610. https://doi.org/10.1016/j.ipm.2023.103610
Book or chapter Tkalčič, M., & Motamedi, E. (2024). Inferring Eudaimonia and Hedonia from Digital Traces. In B. Ferwerda, M. Graus, P. Germanakos, & M. Tkalčič (Eds.), A Human-Centered Perspective of Intelligent Personalized Environments and Systems (pp. 165–182). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-55109-3_6
Book or chapter Ferwerda, B., Graus, M., Germanakos, P., & Tkalčič, M. (Eds.). (2024). A Human-Centered Perspective of Intelligent Personalized Environments and Systems. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-55109-3
Book or chapter Felfernig, A., Boratto, L., Stettinger, M., & Tkalčič, M. (2024). Conclusions. In A. Felfernig, L. Boratto, M. Stettinger, & M. Tkalčič (Eds.), Group Recommender Systems: An Introduction (pp. 177–178). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-44943-7_10
Book or chapter Felfernig, A., Boratto, L., Stettinger, M., & Tkalčič, M. (Eds.). (2024). Group Recommender Systems: An Introduction. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-44943-7
Book or chapter Tkalčič, M., Delić, A., & Felfernig, A. (2024). Personality, Emotions, and Group Dynamics. In A. Felfernig, L. Boratto, M. Stettinger, & M. Tkalčič (Eds.), Group Recommender Systems: An Introduction (pp. 165–175). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-44943-7_9
Book or chapter Kolmanič, S., Kljun, M., Tkalčič, M., & Čopič Pucihar, K. (Eds.). (2024). Proceedings of the 8th Human-Computer Interaction Slovenia (HCI SI) Conference 2023, Maribor, Slovenia, January 26, 2024. CEUR Workshop Proceedings, 3657. https://ceur-ws.org/Vol-3657/
Editorials Ferwerda, B., Germanakos, P., & Tkalčič, M. (2024). HUMANIZE'24: Seventh Edition. Companion Proceedings of the 29th International Conference on Intelligent User Interfaces (IUI 2024), 113–115. https://doi.org/10.1145/3640544.3645251
Editorials Gasparetti, F., Gena, C., Sansonetti, G., & Tkalčič, M. (2024). SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2024. Companion Proceedings of the 29th International Conference on Intelligent User Interfaces (IUI 2024), 125–126. https://doi.org/10.1145/3640544.3645256
Editorials Germanakos, P., Dimitrova, V., Steichen, B., Ferwerda, B., & Tkalčič, M. (2024). HAAPIE 2024: 9th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments. Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2024), 362–364. https://doi.org/10.1145/3631700.3658526
Workshop paper Spirova, E., Golubovikj, A. M., & Tkalčič, M. (2024). Music and Myth: The Relationship Between Music Preference and Unverified Beliefs. Proceedings of the 9th Human-Computer Interaction Slovenia Conference, CEUR Workshop Proceedings, 3866, 3–10. https://ceur-ws.org/Vol-3866/

2023

Journal article Motamedi, E., & Tkalčič, M. (2023). User-centric item characteristics for personalized multimedia systems: A systematic review. Intelligenza Artificiale, 17(2), 207–228. https://doi.org/10.3233/IA-230039
Conference paper Motamedi, E., Tkalčič, M., & Szlávik, Z. (2023). Eudaimonic and Hedonic Qualities as Predictors of Music Videos’ Relevance to Users: A Human-Centric Study. Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 44–49. https://doi.org/10.1145/3563359.3597415
Editorials Gasparetti, F., Gena, C., Sansonetti, G., & Tkalčič, M. (2023). SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2023. Companion Proceedings of the 28th International Conference on Intelligent User Interfaces (IUI 2023), 179–180. https://doi.org/10.1145/3581754.3584162
Editorials Germanakos, P., Dimitrova, V., Steichen, B., Ferwerda, B., & Tkalčič, M. (2023). HAAPIE 2023: 8th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments. Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2023), 302–304. https://doi.org/10.1145/3563359.3595627

2022

Workshop paper Golubovikj, A. M., Kavšek, B., & Tkalčič, M. (2022). Imputing Missing Answers in the World Values Survey. In P. K.S & J. G (Eds.), CEUR Workshop Proceedings (Vol. 3300). CEUR-WS.
Workshop paper Sergaš, U., Kalkan, H., & Tkalčič, M. (2022). Tribalism and Fake News: Descriptive and Predictive Models on How Belief Influences News Trust. In Pececnik K.S. & Jakus G. (Eds.), CEUR Workshop Proc. (Vol. 3300). CEUR-WS; Scopus.
Workshop paper Tkalčič, M., Motamedi, E., Barile, F., Puc, E., & Mars Bitenc, U. (2022). Prediction of Hedonic and Eudaimonic Characteristics from User Interactions. Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, 366–370. https://doi.org/10.1145/3511047.3537656
Editorials Helic, D., Gadiraju, U., & Tkalčič, M. (2022). Editorial: User Modeling and Recommendations. Frontiers in Big Data, 5, 923397. https://doi.org/10.3389/fdata.2022.923397
Journal article Motamedi, E., Barile, F., & Tkalčič, M. (2022). Prediction of Eudaimonic and Hedonic Orientation of Movie Watchers. Applied Sciences, 12(19), 9500. https://doi.org/10.3390/app12199500
Conference paper Ferwerda, B., Kiunsi, D. R., & Tkalčič, M. (2022). Too Much of a Good Thing: When In-Car Driver Assistance Notifications Become Too Much. 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 79–82. https://doi.org/10.1145/3544999.3552536
Book or chapter Tkalčič, M., & Chen, L. (2022). Personality and Recommender Systems. In F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender Systems Handbook (pp. 757–787). Springer US. https://doi.org/10.1007/978-1-0716-2197-4_20
Invited talk Tkalčič, M. (2022). From Implicit Data to Cognitive Models for Recommender Systems [invited-talk abstract]. Proceedings of the 12th Italian Information Retrieval Workshop, CEUR Workshop Proceedings, 3177. https://ceur-ws.org/Vol-3177/invited2.pdf
Editorials Ferwerda, B., Tkalčič, M., & Germanakos, P. (2022). Sixth HUMANIZE Workshop on Transparency and Explainability in Adaptive Systems Through User Modeling Grounded in Psychological Theory: Summary. Companion Proceedings of the 27th International Conference on Intelligent User Interfaces (IUI 2022), 10–12. https://doi.org/10.1145/3490100.3511167
Editorials Gasparetti, F., Gena, C., Sansonetti, G., & Tkalčič, M. (2022). SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2022. Companion Proceedings of the 27th International Conference on Intelligent User Interfaces (IUI 2022), 13–15. https://doi.org/10.1145/3490100.3511172
Editorials Germanakos, P., Dimitrova, V., Steichen, B., Ferwerda, B., & Tkalčič, M. (2022). HAAPIE 2022: 7th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments. Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2022), 314–316. https://doi.org/10.1145/3511047.3536342

2021

Workshop paper Hrustanović, S., Kavšek, B., & Tkalčič, M. (2021). Recognition of Eudaimonic and Hedonic Qualities from Song Lyrics. Human-Computer Interaction Slovenia 2021, November 11, 2021, Koper, Slovenia, 9.
Workshop paper Jovanović, M., Groznik, V., & Tkalčič, M. (2021). Predicting the Gullibility of Users from their Online Behaviour. Human-Computer Interaction Slovenia 2021, November 11, 2021, Koper, Slovenia, 10. https://ceur-ws.org/Vol-3054/paper4.pdf
Workshop paper Motamedi, E., & Tkalčič, M. (2021). Prediction of Eudaimonic and Hedonic Movie Characteristics From Subtitles. Human-Computer Interaction Slovenia 2021, November 11, 2021, Koper, Slovenia, 8. https://ceur-ws.org/Vol-3054/paper6.pdf
Editorials Ferwerda, B., Chen, L., & Tkalčič, M. (2021). Editorial: Psychological Models for Personalized Human-Computer Interaction (HCI). Frontiers in Psychology, 12, 673092. https://doi.org/10.3389/fpsyg.2021.673092
Journal article Elahi, M., Kholgh, D. K., Kiarostami, M. S., Saghari, S., Rad, S. P., & Tkalčič, M. (2021). Investigating the impact of recommender systems on user-based and item-based popularity bias. Information Processing & Management, 58(5), 102655. https://doi.org/10.1016/j.ipm.2021.102655
Conference paper Reiter-Haas, M., Parada-Cabaleiro, E., Schedl, M., Motamedi, E., Tkalčič, M., & Lex, E. (2021). Predicting Music Relistening Behavior Using the ACT-R Framework. Fifteenth ACM Conference on Recommender Systems, 702–707. https://doi.org/10.1145/3460231.3478846
Conference paper Najafian, S., Delic, A., Tkalčič, M., & Tintarev, N. (2021). Factors Influencing Privacy Concern for Explanations of Group Recommendation. Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 14–23. https://doi.org/10.1145/3450613.3456845
Conference paper Elahi, M., Bakhshandegan Moghaddam, F., Hosseini, R., Rimaz, M. H., El Ioini, N., Tkalčič, M., Trattner, C., & Tillo, T. (2021). Recommending Videos in Cold Start With Automatic Visual Tags. Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 54–60. https://doi.org/10.1145/3450614.3461687
Conference paper Najafian, S., Draws, T., Barile, F., Tkalčič, M., Yang, J., & Tintarev, N. (2021). Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations. Proceedings of the 32st ACM Conference on Hypertext and Social Media, 155–164. https://doi.org/10.1145/3465336.3475104
Book or chapter Masthoff, J., Herder, E., Tintarev, N., & Tkalčič, M. (2021). UMAP ’21: Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery.
Book or chapter Masthoff, J., Herder, E., Tintarev, N., & Tkalčič, M. (2021). UMAP ’21: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery.
Book or chapter Tkalčič, M., Pejović, V., Kljun, M., & Čopič Pucihar, K. (Eds.). (2021). Proceedings of the 6th Human-Computer Interaction Slovenia Conference, Koper, Slovenia, November 8, 2021. CEUR Workshop Proceedings, 3054. https://ceur-ws.org/Vol-3054/
Editorials Agrusti, F., Gasparetti, F., Gena, C., Sansonetti, G., & Tkalčič, M. (2021). SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE). Companion Proceedings of the 26th International Conference on Intelligent User Interfaces (IUI 2021), 9–11. https://doi.org/10.1145/3397482.3450709
Editorials Graus, M. P., Ferwerda, B., Tkalčič, M., & Germanakos, P. (2021). Fifth HUMANIZE workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory: Summary. Companion Proceedings of the 26th International Conference on Intelligent User Interfaces (IUI 2021), 21–23. https://doi.org/10.1145/3397482.3450708

2020

Editorials Tkalčič, M., Schedl, M., & Knees, P. (2020). Preface to the Special Issue on user modeling for personalized interaction with music. User Modeling and User-Adapted Interaction, 0123456789, 1–4. https://doi.org/10.1007/s11257-020-09264-6
Journal article Pesek, M., Medvešek, Š., Podlesek, A., Tkalčič, M., & Marolt, M. (2020). A Comparison of Human and Computational Melody Prediction Through Familiarity and Expertise. Frontiers in Psychology, 11(December), 1–18. https://doi.org/10.3389/fpsyg.2020.557398
Conference paper Ferwerda, B., & Tkalčič, M. (2020). Exploring the Prediction of Personality Traits from Drug Consumption Profiles. Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2–5. https://doi.org/10.1145/3386392.3397589
Book or chapter Delić, A., Nguyen, T. N., & Tkalčič, M. (2020). Group Decision-Making and Designing Group Recommender Systems. In Handbook of e-Tourism (pp. 1–23). Springer International Publishing. https://doi.org/10.1007/978-3-030-05324-6_57-1
Invited talk Tkalčič, M. (2020). Complementing Behavioural Modeling with Cognitive Modeling for Better Recommendations. Intelligent Systems and Applications (ISMIS 2020), Lecture Notes in Computer Science, 3–8. https://doi.org/10.1007/978-3-030-59491-6_1
Editorials Graus, M. P., Ferwerda, B., Tkalčič, M., & Germanakos, P. (2020). Fourth HUMANIZE workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory: Summary. Companion Proceedings of the 25th International Conference on Intelligent User Interfaces (IUI 2020), 19–20. https://doi.org/10.1145/3379336.3379352

2019

Workshop paper Barile, F., Ricci, F., Tkalčič, M., Magnini, B., Zanoli, R., Lavelli, A., & Speranza, M. (2019). Media Monitoring using News Recommenders. IIR 2019, September 16–18, 2019, Padova, Italy.
Workshop paper Moghaddam, F. B., Elahi, M., Hosseini, R., Trattner, C., & Tkalčič, M. (2019). Predicting Movie Popularity and Ratings with Visual Features. 2019 14th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), 1–6. https://doi.org/10.1109/SMAP.2019.8864912
Journal article Ferwerda, B., Yang, E., Schedl, M., and Tkalčič, M., (2019). Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming services. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-019-7336-7
Conference paper Barile, F., Ricci, F., Tkalčič, M., Magnini, B., Zanoli, R., Lavelli, A., & Speranza, M. (2019). A News Recommender System for Media Monitoring. Web Intelligence 2019. https://doi.org/10.1145/3350546.3352510
Conference paper Rimaz, M. H., Elahi, M., Moghadam, F., Trattner, C., Hosseini, R., & Tkalčič, M. (2019). Exploring the Power of Visual Features for Recommendation of Movies. UMAP 2019. https://doi.org/10.1145/3320435.3320470
Conference paper Ferwerda, B., & Tkalčič, M. (2019). Exploring Online Music Listening Behaviors of Musically Sophisticated Users. UMAP 2019, 1–5. https://doi.org/10.1145/3314183.3324974
Conference paper Tkalčič, M., Maleki, N., Pesek, M., Elahi, M., Ricci, F., & Marolt, M. (2019). Prediction of music pairwise preferences from facial expressions. In Proceedings of the 24th International Conference on Intelligent User Interfaces - IUI ’19 (pp. 150–159). New York, New York, USA: ACM Press. https://doi.org/10.1145/3301275.3302266
Book or chapter Tkalčič, M., Pera S., Proceedings of ACM RecSys 2019 Late-breaking Results (ACM RecSys LBR 2019), Copenhagen, Denmark, September 16-20, 2019. http://ceur-ws.org/Vol-2431/
Editorials Graus, M. P., Ferwerda, B., Tkalčič, M., & Germanakos, P. (2019). A Summary of the Third Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces. CEUR Workshop Proceedings, vol. 2327. https://ceur-ws.org/Vol-2327/IUI19WS-HUMANIZE-0.pdf
Editorials Graus, M. P., Ferwerda, B., Tkalčič, M., & Germanakos, P. (2019). Third workshop on theory-informed user modeling for tailoring and personalizing interfaces (HUMANIZE): preface. Companion Proceedings of the 24th International Conference on Intelligent User Interfaces (IUI 2019), 127–128. https://doi.org/10.1145/3308557.3313113
Editorials Tkalčič, M., & Pera, M. S. (2019). ACM RecSys'19 late-breaking results (posters). Proceedings of the 13th ACM Conference on Recommender Systems (RecSys 2019), 572–573. https://doi.org/10.1145/3298689.3346970

2018

Workshop paper Tkalčič, M., & Ferwerda, B. (2018). Theory-driven Recommendations : Modeling Hedonic and Eudaimonic Movie Preferences. In N. Tonellotto, L. Becchetti, & M. Tkalčič (Eds.), Proceedings of the 9th Italian Information Retrieval Workshop (pp. 1–5).
Workshop paper 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.
Conference paper 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.
Conference paper 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
Book or chapter Tonellotto, N., Becchetti, L., Tkalčič, M., Proceedings of the 9th Italian Information Retrieval Workshop (IIR 2018), Rome, Italy, May, 28-30, 2018. http://ceur-ws.org/Vol-2140/
Book or chapter 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
Book or chapter 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
Tutorial paper Tkalčič, M. (2018). Emotions and Personality in Recommender Systems [tutorial]. Proceedings of the 12th ACM Conference on Recommender Systems (RecSys 2018), 535–536. https://doi.org/10.1145/3240323.3241619
Editorials Graus, M., Ferwerda, B., Tkalčič, M., & Germanakos, P. (2018). Second Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE): Workshop Preface. CEUR Workshop Proceedings, vol. 2068. https://ceur-ws.org/Vol-2068/preface-humanize.pdf
Editorials Tkalčič, M., & de Gemmis, M. (2018). UMAP'18 Workshop &Tutorial Chairs' Welcome (overview) & Organization List. Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization (UMAP 2018), 1–2. https://doi.org/10.1145/3213586.3229186

2017

Workshop paper 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
Journal article 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
Demo 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
Conference paper 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
Conference paper 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
Book or chapter 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
Book or chapter 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
Book or chapter Graus, M. P., Ferwerda, B., Schedl, M., Tkalčič, M., Willemsen, M. C., & Germanakos, P. (Eds.). (2017). Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE@IUI 2017). ACM. https://doi.org/10.1145/3039677
Editorials Graus, M., Ferwerda, B., Schedl, M., Tkalčič, M., Willemsen, M., & Germanakos, P. (2017). HUMANIZE 2017 chairs' welcome. HUMANIZE 2017 workshop proceedings. https://pub.orcid.org/v3.0/0000-0002-0831-5512/work/66999611
Editorials Graus, M. P., Ferwerda, B., Schedl, M., Tkalčič, M., Willemsen, M. C., & Germanakos, P. (2017). IUI'17 Companion-Workshop Summary for HUMANIZE'17. Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI 2017), 13–15. https://doi.org/10.1145/3030024.3040247
Editorials Tkalčič, M., & Thakker, D. (2017). UMAP'17 Late-Breaking Results, Demonstration and Theory, Opinion & Reflection Papers Chairs' Preface & Organization. Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization (UMAP 2017), 1–3. https://doi.org/10.1145/3099023.3099062
Editorials Knees, P., Andersen, K., Said, A., & Tkalčič, M. (2017). UMAP 2017 Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems: Organizers' Welcome & Organization. Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization (UMAP 2017), 347–349. https://doi.org/10.1145/3099023.3099095

2016

Workshop paper 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/
Editorials 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)
Editorials 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)
Demo 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
Conference paper 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
Conference paper 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
Conference paper 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
Conference paper 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
Conference paper 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).
Conference paper 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
Conference paper 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
Conference paper 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
Conference paper 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
Book or chapter 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
Book or chapter 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
Book or chapter 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
Book or chapter 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/
Editorials Tkalčič, M., De Carolis, B., de Gemmis, M., & Košir, A. (2016). 4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE). Proceedings of the 10th ACM Conference on Recommender Systems (RecSys 2016), 407. https://doi.org/10.1145/2959100.2959201
Editorials Tkalčič, M., De Carolis, B., de Gemmis, M., & Košir, A. (2016). Preface to the EMPIRE 2016 workshop proceedings. CEUR Workshop Proceedings, vol. 1680. https://ceur-ws.org/Vol-1680/preface.pdf
Editorials Knees, P., Andersen, K., Said, A., & Tkalčič, M. (2016). Preface to the SOAP 2016 workshop proceedings. CEUR Workshop Proceedings, vol. 1618. https://ceur-ws.org/Vol-1618/SOAP_preface.pdf

2015

Workshop paper 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).
Workshop paper 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
Journal article 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
Conference paper 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
Conference paper 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/
Conference paper 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
Conference paper 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
Book or chapter 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
Book or chapter 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
Editorials Tkalčič, M., De Carolis, B., de Gemmis, M., Odić, A., & Košir, A. (2015). EMPIRE 2015: Workshop on Emotions and Personality in Personalized Systems. Proceedings of the 9th ACM Conference on Recommender Systems (RecSys 2015), 343–344. https://doi.org/10.1145/2792838.2798716
Editorials Tkalčič, M., De Carolis, B., de Gemmis, M., Odić, A., & Košir, A. (2015). Preface: EMPIRE 2015 - 3rd Workshop on Emotions and Personality in Personalized Services. EMPIRE 2015 workshop proceedings. https://ricerca.uniba.it/handle/11586/373245

2014

Workshop paper 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
Workshop paper 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
Workshop paper 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
Workshop paper 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
Conference paper 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
Conference paper 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
Editorials Tkalčič, M., De Carolis, B., de Gemmis, M., Odić, A., & Košir, A. (2014). Preface to the EMPIRE 2014 workshop proceedings. CEUR Workshop Proceedings, vol. 1181. https://ceur-ws.org/Vol-1181/empire2014_preface.pdf

2013

Workshop paper 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
Workshop paper 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
Workshop paper 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
Workshop paper 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
Journal article 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
Journal article 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
Journal article 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
Journal article 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
Journal article 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
Conference paper 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
Conference paper 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
Conference paper 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
Editorials Tkalčič, M., De Carolis, B., de Gemmis, M., Odić, A., & Košir, A. (2013). Preface to the EMPIRE 2013 workshop proceedings. CEUR Workshop Proceedings, vol. 997. https://ceur-ws.org/Vol-997/empire2013_preface.pdf

2012

Workshop paper 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
Conference paper 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
Book or chapter 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

2011

Workshop paper 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
Workshop paper 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
Workshop paper 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
Journal article 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
Journal article 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
Journal article 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
Book or chapter 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.
Book or chapter Tkalčič, M. (2011). History of Color Spaces. Lulu. ISBN 978-1-105-09093-6. https://hdl.handle.net/10863/5354

2010

Journal article 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
Conference paper Tkalčič, M., Odić, A., Košir, A., & Tasič, J. (2010). Comparison of an Emotion Detection Technique on Posed and Spontaneous Datasets. Proceedings of the International Electrotechnical and Computer Science Conference (ERK 2010). https://hdl.handle.net/10863/5366

2009

Workshop paper 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
Workshop paper 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
Workshop paper 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

2008

Journal article 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 paper Zaletelj, J., Meža, M., Tkalčič, M., Savić, M., Burnik, U., & Tasič, J. (2008). LIVE – Sistem za uporabnikom prilagojeno produkcijo TV vsebin. Telecommunications workshop, Brdo, Slovenia. https://citeseerx.ist.psu.edu/document?doi=97cedb78b1aa43e3aaf00811c477ef81c7557ef2&repid=rep1&type=pdf
Conference paper Košir, A., Tkalčič, M., & Tasič, J. (2008). Non-invasive data acquisition for user modeling. Proceedings of the XXVI PosTel Symposium, Belgrade, Serbia. https://citeseerx.ist.psu.edu/document?doi=ae8cc541936f0c66fd5ea23037bab3e50f36709c&repid=rep1&type=pdf
Conference paper Alic, K., Zajc, M., Tkalčič, M., Burnik, U., & Tasic, J. (2008). Development of interactive television t-learning course. MELECON 2008, 139–144. https://doi.org/10.1109/melcon.2008.4618424

2007

Conference paper Tkalčič, M., & Tasic, J. (2007). P2P for MajorEvents: A Hybrid Multimedia Distribution Platform. EUROCON 2007, 974–977. https://doi.org/10.1109/eurcon.2007.4400508

2006

Book or chapter 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

2005

Conference paper Burnik, U., Pogacnik, M., Tkalčič, M., & Tasic, J. F. (2005). Content4All: A Cross-media Platform for Community Information Exchange. EUROCON 2005, 191–194. https://doi.org/10.1109/eurcon.2005.1629891

2003

Conference paper 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
Book or chapter Zajc, B., & Tkalčič, M. (Eds.). (2003). The IEEE Region 8 EUROCON 2003: Computer as a Tool – Proceedings. IEEE. https://www1.ctk.uni-lj.si/Knjiznica/knjizne-novosti/2007-1.html

2000

Conference paper Tkalčič, M., Tasič, J. F., & Pernuš, F. (2000). Primerjava postopkov za izboljšanje kontrasta sivih slik. Proceedings of ERK 2000, 4–7. https://hdl.handle.net/10863/41005