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Marko Tkalcic
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- affiliation: University of Primorska, Koper, Slovenia
- affiliation (former): Free University of Bolzano/Bozen, Italy
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2020 – today
- 2024
- [j18]Elham Motamedi
, Danial Khosh Kholgh
, Sorush Saghari, Mehdi Elahi
, Francesco Barile
, Marko Tkalcic
:
Predicting movies' eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features. Inf. Process. Manag. 61(2): 103610 (2024) - [j17]Ludovico Boratto, Alexander Felfernig, Martin Stettinger, Marko Tkalcic:
Preface on the special issue on group recommender systems. User Model. User Adapt. Interact. 34(3): 483-487 (2024) - [j16]Matej Bevec, Marko Tkalcic, Matevz Pesek:
Hybrid music recommendation with graph neural networks. User Model. User Adapt. Interact. 34(5): 1891-1928 (2024) - [c83]Elena Spirova, Arsen Matej Golubovikj, Marko Tkalcic:
Music and Myth: The Relationship Between Music Preference and Unverified Beliefs. HCI-SI 2024: 3-10 - [c82]Arsen Matej Golubovikj, Osnat Mokryn, Marko Tkalcic:
Intended Movie Experience: Linking Elicited Emotions to Eudaimonic and Hedonic Characteristics. IntRS@RecSys 2024: 103-112 - [c81]Bruce Ferwerda
, Panagiotis Germanakos
, Marko Tkalcic
:
HUMANIZE'24: Seventh Edition. IUI Companion 2024: 113-115 - [c80]Fabio Gasparetti
, Cristina Gena
, Giuseppe Sansonetti
, Marko Tkalcic
:
SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2024. IUI Companion 2024: 125-126 - [c79]Panagiotis Germanakos
, Vania Dimitrova
, Ben Steichen
, Bruce Ferwerda
, Marko Tkalcic
:
HAAPIE 2024: 9th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments. UMAP (Adjunct Publication) 2024 - [e9]Simon Kolmanic, Matjaz Kljun, Marko Tkalcic, Klen Copic Pucihar:
Proceedings of the 8th Human-Computer Interaction Slovenia (HCI SI) Conference 2023, Maribor, Slovenia, January 26, 2024. CEUR Workshop Proceedings 3657, CEUR-WS.org 2024 [contents] - [i2]Dietmar Jannach, Alan Said, Marko Tkalcic, Markus Zanker:
Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters. CoRR abs/2411.16645 (2024) - 2023
- [j15]Elham Motamedi, Marko Tkalcic:
User-centric item characteristics for personalized multimedia systems: A systematic review. Intelligenza Artificiale 17(2): 207-228 (2023) - [c78]Gregor Grbec, Nino Basic, Marko Tkalcic:
Ranking Footballers with Multilevel Modeling. HCI-SI 2023: 95-101 - [c77]Fabio Gasparetti
, Cristina Gena
, Giuseppe Sansonetti
, Marko Tkalcic
:
SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2023. IUI Companion 2023: 179-180 - [c76]Elham Motamedi
, Marko Tkalcic
, Zoltán Szlávik
:
Eudaimonic and Hedonic Qualities as Predictors of Music Videos' Relevance to Users: A Human-Centric Study. UMAP (Adjunct Publication) 2023: 44-49 - [c75]Panagiotis Germanakos
, Vania Dimitrova
, Ben Steichen
, Bruce Ferwerda
, Marko Tkalcic
:
HAAPIE 2023: 8th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments. UMAP (Adjunct Publication) 2023: 302-304 - 2022
- [j14]Denis Helic
, Ujwal Gadiraju, Marko Tkalcic:
Editorial: User Modeling and Recommendations. Frontiers Big Data 5: 923397 (2022) - [c74]Bruce Ferwerda, Domina Kiunsi, Marko Tkalcic:
Too Much of a Good Thing: When In-Car Driver Assistance Notifications Become Too Much. AutomotiveUI (Adjunct Proceedings) 2022: 79-82 - [c73]Arsen Matej Golubovikj, Branko Kavsek, Marko Tkalcic:
Imputing Missing Answers in the World Values Survey. HCI-SI 2022 - [c72]Uros Sergas, Habil Kalkan, Marko Tkalcic:
Tribalism and Fake News: Descriptive and Predictive Models on How Belief Influences News Trust. HCI-SI 2022 - [c71]Marko Tkalcic:
From Implicit Data to Cognitive Models for Recommender Systems. IIR 2022 - [c70]Bruce Ferwerda, Marko Tkalcic, Panagiotis Germanakos:
Sixth HUMANIZE Workshop on Transparency and Explainability in Adaptive Systems Through User Modeling Grounded in Psychological Theory: Summary. IUI Companion 2022: 10-12 - [c69]Fabio Gasparetti, Cristina Gena, Giuseppe Sansonetti, Marko Tkalcic:
SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2022. IUI Companion 2022: 13-15 - [c68]Panagiotis Germanakos, Vania Dimitrova, Ben Steichen, Bruce Ferwerda, Marko Tkalcic:
HAAPIE 2022: 7th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments. UMAP (Adjunct Publication) 2022: 314-316 - [c67]Marko Tkalcic, Elham Motamedi, Francesco Barile
, Eva Puc, Ursa Mars Bitenc:
Prediction of Hedonic and Eudaimonic Characteristics from User Interactions. UMAP (Adjunct Publication) 2022: 366-370 - [r3]Marko Tkalcic, Li Chen:
Personality and Recommender Systems. Recommender Systems Handbook 2022: 757-787 - 2021
- [j13]Mehdi Elahi
, Danial Khosh Kholgh
, Mohammad Sina Kiarostami, Sorush Saghari, Shiva Parsa Rad, Marko Tkalcic:
Investigating the impact of recommender systems on user-based and item-based popularity bias. Inf. Process. Manag. 58(5): 102655 (2021) - [c66]Mateja Jovanovic, Vida Groznik, Marko Tkalcic:
Predicting the Gullibility of Users from their Online Behaviour. HCI-SI 2021: 35-44 - [c65]Sead Hrustanovic, Branko Kavsek, Marko Tkalcic:
Recognition of Eudaemonic and Hedonic Qualities from Song Lyrics. HCI-SI 2021: 45-53 - [c64]Elham Motamedi, Marko Tkalcic:
Prediction of Eudaimonic and Hedonic Movie Characteristics from Subtitles. HCI-SI 2021: 54-61 - [c63]Shabnam Najafian, Tim Draws
, Francesco Barile
, Marko Tkalcic, Jie Yang
, Nava Tintarev:
Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations. HT 2021: 155-164 - [c62]Francesco Agrusti, Fabio Gasparetti, Cristina Gena, Giuseppe Sansonetti, Marko Tkalcic:
SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE). IUI Companion 2021: 9-11 - [c61]Mark P. Graus, Bruce Ferwerda, Marko Tkalcic, Panagiotis Germanakos:
Fifth HUMANIZE workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory: Summary. IUI Companion 2021: 21-23 - [c60]Markus Reiter-Haas
, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex:
Predicting Music Relistening Behavior Using the ACT-R Framework. RecSys 2021: 702-707 - [c59]Shabnam Najafian, Amra Delic
, Marko Tkalcic, Nava Tintarev:
Factors Influencing Privacy Concern for Explanations of Group Recommendation. UMAP 2021: 14-23 - [c58]Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Reza Hosseini, Mohammad Hossein Rimaz, Nabil El Ioini, Marko Tkalcic, Christoph Trattner, Tammam Tillo:
Recommending Videos in Cold Start With Automatic Visual Tags. UMAP (Adjunct Publication) 2021: 54-60 - [e8]Marko Tkalcic, Veljko Pejovic, Matjaz Kljun, Klen Copic Pucihar:
Proceedings of the 6th Human-Computer Interaction Slovenia Conference, Koper, Slovenia, November 8, 2021. CEUR Workshop Proceedings 3054, CEUR-WS.org 2021 [contents] - [e7]Judith Masthoff, Eelco Herder, Nava Tintarev, Marko Tkalcic:
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021, Utrecht, The Netherlands, June, 21-25, 2021. ACM 2021, ISBN 978-1-4503-8366-0 [contents] - [e6]Judith Masthoff, Eelco Herder, Nava Tintarev, Marko Tkalcic:
Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021, Utrecht, The Netherlands, June 21-25, 2021. ACM 2021, ISBN 978-1-4503-8367-7 [contents] - [i1]Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex:
Predicting Music Relistening Behavior Using the ACT-R Framework. CoRR abs/2108.02138 (2021) - 2020
- [j12]Marko Tkalcic, Markus Schedl, Peter Knees:
Preface to the Special Issue on user modeling for personalized interaction with music. User Model. User Adapt. Interact. 30(2): 195-198 (2020) - [c57]Marko Tkalcic
:
Complementing Behavioural Modeling with Cognitive Modeling for Better Recommendations. ISMIS 2020: 3-8 - [c56]Mark P. Graus, Bruce Ferwerda, Marko Tkalcic, Panagiotis Germanakos:
Fourth HUMANIZE workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory: Summary. IUI Companion 2020: 19-20 - [c55]Bruce Ferwerda, Marko Tkalcic:
Exploring the Prediction of Personality Traits from Drug Consumption Profiles. UMAP (Adjunct Publication) 2020: 2-5
2010 – 2019
- 2019
- [j11]Bruce Ferwerda
, Emily Yang, Markus Schedl, Marko Tkalcic
:
Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming services. Multim. Tools Appl. 78(14): 20157-20190 (2019) - [c54]Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza:
Media Monitoring using News Recommenders. IIR 2019: 41-42 - [c53]Mark P. Graus, Bruce Ferwerda, Marko Tkalcic
, Panagiotis Germanakos:
Third workshop on theory-informed user modeling for tailoring and personalizing interfaces (HUMANIZE): preface. IUI Companion 2019: 127-128 - [c52]Marko Tkalcic
, Nima Maleki, Matevz Pesek
, Mehdi Elahi, Francesco Ricci
, Matija Marolt:
Prediction of music pairwise preferences from facial expressions. IUI 2019: 150-159 - [c51]Marko Tkalcic, Maria Soledad Pera
:
ACM RecSys'19 late-breaking results (posters). RecSys 2019: 572-573 - [c50]Farshad Bakhshandegan Moghaddam, Mehdi Elahi, Reza Hosseini, Christoph Trattner, Marko Tkalcic
:
Predicting Movie Popularity and Ratings with Visual Features. SMAP 2019: 1-6 - [c49]Bruce Ferwerda
, Marko Tkalcic
:
Exploring Online Music Listening Behaviors of Musically Sophisticated Users. UMAP (Adjunct Publication) 2019: 33-37 - [c48]Mohammad Hossein Rimaz, Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Christoph Trattner, Reza Hosseini, Marko Tkalcic
:
Exploring the Power of Visual Features for the Recommendation of Movies. UMAP 2019: 303-308 - [c47]Francesco Barile, Francesco Ricci, Marko Tkalcic
, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza:
A News Recommender System for Media Monitoring. WI 2019: 132-140 - [e5]Marko Tkalcic, Sole Pera:
Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, RecSys 2019 Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019. CEUR Workshop Proceedings 2431, CEUR-WS.org 2019 [contents] - 2018
- [j10]Markus Schedl
, Emilia Gómez, Erika S. Trent
, Marko Tkalcic
, Hamid Eghbal-Zadeh, Agustín Martorell:
On the Interrelation Between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music. IEEE Trans. Affect. Comput. 9(4): 507-525 (2018) - [c46]Marko Tkalcic
, Bruce Ferwerda:
Theory-driven Recommendations: Modeling Hedonic and Eudaimonic Movie Preferences. IIR 2018 - [c45]Bruce Ferwerda, Marko Tkalcic:
You Are What You Post: What the Content of Instagram Pictures Tells About Users' Personality. IUI Workshops 2018 - [c44]Marko Tkalcic
:
Emotions and personality in recommender systems: tutorial. RecSys 2018: 535-536 - [c43]Marko Tkalcic
, Marco de Gemmis:
UMAP'18 Workshop &Tutorial Chairs' Welcome (overview) & Organization List. UMAP (Adjunct Publication) 2018: 1-2 - [c42]Bruce Ferwerda
, Marko Tkalcic
:
Predicting Users' Personality from Instagram Pictures: Using Visual and/or Content Features? UMAP 2018: 157-161 - [c41]Marko Tkalcic
, Bruce Ferwerda
:
Eudaimonic Modeling of Moviegoers. UMAP 2018: 163-167 - [e4]Nicola Tonellotto, Luca Becchetti, Marko Tkalcic:
Proceedings of the 9th Italian Information Retrieval Workshop, Rome, Italy, May, 28-30, 2018. CEUR Workshop Proceedings 2140, CEUR-WS.org 2018 [contents] - [r2]Marko Tkalcic:
Emotions and Personality in Recommender Systems. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [c40]Mark P. Graus, Bruce Ferwerda
, Markus Schedl, Marko Tkalcic
, Martijn C. Willemsen
, Panagiotis Germanakos:
IUI'17 Companion-Workshop Summary for HUMANIZE'17. IUI Companion 2017: 13-15 - [c39]Bruce Ferwerda, Marko Tkalcic, Markus Schedl:
Personality Traits and Music Genre Preferences: How Music Taste Varies Over Age Groups. RecTemp@RecSys 2017: 16-20 - [c38]Marko Tkalcic
, Nima Maleki, Matevz Pesek
, Mehdi Elahi
, Francesco Ricci
, Matija Marolt:
A Research Tool for User Preferences Elicitation with Facial Expressions. RecSys 2017: 353-354 - [c37]Bruce Ferwerda
, Mark P. Graus, Andreu Vall, Marko Tkalcic
, Markus Schedl:
How item discovery enabled by diversity leads to increased recommendation list attractiveness. SAC 2017: 1693-1696 - [c36]Marko Tkalcic
, Dhavalkumar Thakker
:
UMAP'17 Late-Breaking Results, Demonstration and Theory, Opinion & Reflection Papers Chairs' Preface & Organization. UMAP (Adjunct Publication) 2017: 1-3 - [c35]Bruce Ferwerda
, Marko Tkalcic
, Markus Schedl:
Personality Traits and Music Genres: What Do People Prefer to Listen To? UMAP 2017: 285-288 - [c34]Peter Knees, Kristina Andersen, Alan Said, Marko Tkalcic
:
UMAP 2017 Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems: Organizers' Welcome & Organization. UMAP (Adjunct Publication) 2017: 347-349 - [p2]Marko Tkalcic
, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir
:
Introduction to Emotions and Personality in Personalized Systems. Emotions and Personality in Personalized Services 2017: 3-11 - [p1]Ante Odic, Andrej Kosir
, Marko Tkalcic
:
Affective and Personality Corpora. Emotions and Personality in Personalized Services 2017: 163-178 - [e3]Mark P. Graus, Bruce Ferwerda, Markus Schedl, Marko Tkalcic, Martijn C. Willemsen, Panagiotis Germanakos:
Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, HUMANIZE@IUI 2017, Limassol, Cyprus, March 13, 2017. ACM 2017, ISBN 978-1-4503-4905-5 [contents] - 2016
- [j9]Marco Degemmis, Berardina De Carolis, Andrej Kosir, Marko Tkalcic:
Preface to the Focus Section. IxD&A 28: 105-109 (2016) - [j8]Marko Tkalcic
, Daniele Quercia, Sabine Graf
:
Preface to the special issue on personality in personalized systems. User Model. User Adapt. Interact. 26(2-3): 103-107 (2016) - [c33]Markus Schedl, David Hauger, Marko Tkalcic
, Mark S. Melenhorst, Cynthia C. S. Liem:
A dataset of multimedia material about classical music: PHENICX-SMM. CBMI 2016: 1-4 - [c32]Markus Schedl, Hamid Eghbal-Zadeh, Emilia Gómez, Marko Tkalcic:
An Analysis of Agreement in Classical Music Perception and its Relationship to Listener Characteristics. ISMIR 2016: 578-583 - [c31]Marko Tkalcic
, Markus Schedl, Cynthia C. S. Liem
, Mark S. Melenhorst:
Personalized Retrieval and Browsing of Classical Music and Supporting Multimedia Material. ICMR 2016: 393-396 - [c30]Bruce Ferwerda
, Markus Schedl, Marko Tkalcic
:
Using Instagram Picture Features to Predict Users' Personality. MMM (1) 2016: 850-861 - [c29]Markus Schedl, Mark S. Melenhorst, Cynthia C. S. Liem, Agustín Martorell, Oscar Mayor, Marko Tkalcic
:
A personality-based adaptive system for visualizing classical music performances. MMSys 2016: 15:1-15:7 - [c28]Bruce Ferwerda, Mark P. Graus, Andreu Vall, Marko Tkalcic, Markus Schedl:
The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists. EMPIRE@RecSys 2016: 43-47 - [c27]Saikishore Kalloori, Francesco Ricci
, Marko Tkalcic
:
Pairwise Preferences Based Matrix Factorization and Nearest Neighbor Recommendation Techniques. RecSys 2016: 143-146 - [c26]Tamas Motajcsek, Jean-Yves Le Moine, Martha A. Larson, Daniel Kohlsdorf, Andreas Lommatzsch, Domonkos Tikk, Omar Alonso, Paolo Cremonesi, Andrew M. Demetriou, Kristaps Dobrajs, Franca Garzotto, Ayse Göker, Frank Hopfgartner
, Davide Malagoli, Thuy Ngoc Nguyen, Jasminko Novak, Francesco Ricci, Mario Scriminaci, Marko Tkalcic
, Anna Zacchi:
Algorithms Aside: Recommendation As The Lens Of Life. RecSys 2016: 215-219 - [c25]Marko Tkalcic
, Berardina De Carolis, Marco de Gemmis, Andrej Kosir:
4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE). RecSys 2016: 407 - [c24]Bruce Ferwerda
, Andreu Vall, Marko Tkalcic
, Markus Schedl:
Exploring Music Diversity Needs Across Countries. UMAP 2016: 287-288 - [c23]Marcin Skowron, Marko Tkalcic
, Bruce Ferwerda, Markus Schedl:
Fusing Social Media Cues: Personality Prediction from Twitter and Instagram. WWW (Companion Volume) 2016: 107-108 - [c22]Bruce Ferwerda, Markus Schedl, Marko Tkalcic
:
Personality Traits and the Relationship with (Non-) Disclosure Behavior on Facebook. WWW (Companion Volume) 2016: 565-568 - [e2]Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Andrej Kosir:
Proceedings of the 4th Workshop on Emotions and Personality in Personalized Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), Boston, MA, USA, September 16, 2016. CEUR Workshop Proceedings 1680, CEUR-WS.org 2016 [contents] - [e1]Marko Tkalcic
, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir
:
Emotions and Personality in Personalized Services - Models, Evaluation and Applications. Human-Computer Interaction Series, Springer 2016, ISBN 978-3-319-31411-2 [contents] - 2015
- [j7]Tomaz Vodlan, Marko Tkalcic
, Andrej Kosir
:
The impact of hesitation, a social signal, on a user's quality of experience in multimedia content retrieval. Multim. Tools Appl. 74(17): 6871-6896 (2015) - [c21]Bruce Ferwerda
, Emily Yang, Markus Schedl, Marko Tkalcic
:
Personality Traits Predict Music Taxonomy Preferences. CHI Extended Abstracts 2015: 2241-2246 - [c20]Peter Knees, Kristina Andersen, Marko Tkalcic:
"I'd like it to do the opposite": Music-Making Between Recommendation and Obstruction. DMRS 2015: 9-16 - [c19]Markus Schedl, David Hauger, Katayoun Farrahi
, Marko Tkalcic
:
On the Influence of User Characteristics on Music Recommendation Algorithms. ECIR 2015: 339-345 - [c18]Bruce Ferwerda
, Markus Schedl, Marko Tkalcic
:
Predicting Personality Traits with Instagram Pictures. EMPIRE@RecSys 2015: 7-10 - [c17]Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir:
EMPIRE 2015: Workshop on Emotions and Personality in Personalized Systems. RecSys 2015: 343-344 - [c16]Bruce Ferwerda, Markus Schedl, Marko Tkalcic:
Personality & Emotional States: Understanding Users' Music Listening Needs. UMAP Workshops 2015 - [c15]Marko Tkalcic
, Bruce Ferwerda
, David Hauger, Markus Schedl:
Personality Correlates for Digital Concert Program Notes. UMAP 2015: 364-369 - [r1]Marko Tkalcic
, Li Chen:
Personality and Recommender Systems. Recommender Systems Handbook 2015: 715-739 - 2014
- [c14]Marko Tkalcic
, Giovanni Semeraro, Marco de Gemmis:
Personality and Emotions in Decision Making and Recommender Systems. DMRS 2014: 14-18 - [c13]Katayoun Farrahi, Markus Schedl, Andreu Vall, David Hauger, Marko Tkalcic:
Impact of Listening Behavior on Music Recommendation. ISMIR 2014: 483-488 - [c12]Markus Schedl, Marko Tkalcic
:
Genre-based Analysis of Social Media Data on Music Listening Behavior: Are Fans of Classical Music Really Averse to Social Media? WISMM 2014: 9-13 - [c11]Andrej Kosir, Ante Odic, Marko Tkalcic, Matija Svetina:
Human Decisions in User Modeling: Motivation, Procedure and Example Application. UMAP Workshops 2014 - [c10]Marko Tkalcic, Bruce Ferwerda, Markus Schedl, Cynthia C. S. Liem, Mark S. Melenhorst, Ante Odic, Andrej Kosir:
Using Social Media Mining for Estimating Theory of Planned Behaviour Parameters. UMAP Workshops 2014 - 2013
- [j6]Marko Tkalcic
, Ante Odic, Andrej Kosir
:
The impact of weak ground truth and facial expressiveness on affect detection accuracy from time-continuous videos of facial expressions. Inf. Sci. 249: 13-23 (2013) - [j5]Ante Odic, Marko Tkalcic
, Jurij F. Tasic, Andrej Kosir
:
Predicting and Detecting the Relevant Contextual Information in a Movie-Recommender System. Interact. Comput. 25(1): 74-90 (2013) - [j4]Marko Tkalcic
, Andrej Kosir, Jurij F. Tasic:
The LDOS-PerAff-1 corpus of facial-expression video clips with affective, personality and user-interaction metadata. J. Multimodal User Interfaces 7(1-2): 143-155 (2013) - [j3]Marko Tkalcic
, Ante Odic, Andrej Kosir, Jurij F. Tasic:
Affective Labeling in a Content-Based Recommender System for Images. IEEE Trans. Multim. 15(2): 391-400 (2013) - [c9]Mehdi Elahi
, Matthias Braunhofer, Francesco Ricci
, Marko Tkalcic
:
Personality-Based Active Learning for Collaborative Filtering Recommender Systems. AI*IA 2013: 360-371 - [c8]David Hauger, Markus Schedl, Andrej Kosir, Marko Tkalcic:
The Million Musical Tweet Dataset - What We Can Learn From Microblogs. ISMIR 2013: 189-194 - [c7]Andrej Kosir, Ante Odic, Marko Tkalcic
:
How to improve the statistical power of the 10-fold cross validation scheme in recommender systems. RepSys@RecSys 2013: 3-6 - [c6]Ante Odic, Marko Tkalcic
, Andrej Kosir:
Managing Irrelevant Contextual Categories in a Movie Recommender System. Decisions@RecSys 2013: 29-35 - [c5]Ante Odic, Marko Tkalcic, Jurij F. Tasic, Andrej Kosir:
Personality and Social Context: Impact on Emotion Induction from Movies. UMAP Workshops 2013 - [c4]Tomaz Vodlan, Marko Tkalcic, Andrej Kosir:
The Role of Social Signals in Telecommunication: Experimental Design. UMAP Workshops 2013 - 2012
- [c3]Marko Tkalcic
, Urban Burnik
, Ante Odic, Andrej Kosir, Jurij F. Tasic:
Emotion-Aware Recommender Systems - A Framework and a Case Study. ICT Innovations 2012: 141-150 - [c2]Marko Tkalcic
, Ante Odic, Andrej Kosir, Jurij F. Tasic:
Exploiting implicit affective labeling for image