Marko Tkalcic

发表

Predicting and Detecting the Relevant Contextual Information in a Movie-Recommender System

Jurij F. Tasic, Ante Odic, Marko Tkalcic, 2013, Interact. Comput..

Database for contextual personalization

Marko Tkalcic, Andrej Košir, Ante Odić, 2011 .

Personality and Emotions in Decision Making and Recommender Systems

Giovanni Semeraro, Marco Degemmis, Marko Tkalcic, 2014, DMRS.

Emotions and Personality in Personalized Services

Marko Tkalcic, Andrej Košir, Berardina De Carolis, 2016, Human–Computer Interaction Series.

Impact of Listening Behavior on Music Recommendation

Katayoun Farrahi, Markus Schedl, Marko Tkalcic, 2014, ISMIR.

Personality Correlates for Digital Concert Program Notes

Bruce Ferwerda, Markus Schedl, Marko Tkalcic, 2015, UMAP.

Emotions and Personality in Recommender Systems

Marko Tkalcic, M. Tkalcic, 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE)

Marco Degemmis, Marko Tkalcic, Andrej Kosir, 2016, RecSys.

UMAP'17 Late-Breaking Results, Demonstration and Theory, Opinion & Reflection Papers Chairs' Preface & Organization

Marko Tkalcic, Dhavalkumar Thakker, 2017, UMAP.

The LDOS-PerAff-1 corpus of facial-expression video clips with affective, personality and user-interaction metadata

Jurij F. Tasic, Marko Tkalcic, Andrej Kosir, 2012, Journal on Multimodal User Interfaces.

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization

Panagiotis Germanakos, Mária Bieliková, Federica Cena, 2017, UMAP.

Personality Traits and Music Genres: What Do People Prefer to Listen To?

Bruce Ferwerda, Markus Schedl, Marko Tkalcic, 2017, UMAP.

Algorithms Aside: Recommendation As The Lens Of Life

Franca Garzotto, Martha Larson, Francesco Ricci, 2016, RecSys.

A personality-based adaptive system for visualizing classical music performances

Markus Schedl, Mark S. Melenhorst, Marko Tkalcic, 2016, MMSys.

Emotion-Aware Recommender Systems - A Framework and a Case Study

Jurij F. Tasic, Ante Odic, Marko Tkalcic, 2012, ICT Innovations.

Predicting Users' Personality from Instagram Pictures: Using Visual and/or Content Features?

Bruce Ferwerda, Marko Tkalcic, M. Tkalcic, 2018, UMAP.

Relevant Context in a Movie Recommender System: Users' Opinion vs. Statistical Detection

Jurij F. Tasic, Marko Tkalcic, Andrej Košir, 2012 .

Personalized Retrieval and Browsing of Classical Music and Supporting Multimedia Material

Markus Schedl, Mark S. Melenhorst, Marko Tkalcic, 2016, ICMR.

Further Choice Scenarios

Alexander Felfernig, Martin Stettinger, Marko Tkalcic, 2018 .

Personality & Emotional States: Understanding Users' Music Listening Needs

Bruce Ferwerda, Markus Schedl, Marko Tkalcic, 2015, UMAP Workshops.

Group Recommender Systems: An Introduction

Alexander Felfernig, Martin Stettinger, Marko Tkalcic, 2018 .

Impact of Implicit and Explicit Affective Labeling on a Recommender System's Performance

Jurij F. Tasic, Ante Odic, Marko Tkalcic, 2011, UMAP Workshops.

An Analysis of Agreement in Classical Music Perception and its Relationship to Listener Characteristics

Markus Schedl, Marko Tkalcic, Hamid Eghbal-Zadeh, 2016, ISMIR.

Personality Traits and the Relationship with (Non-) Disclosure Behavior on Facebook

Bruce Ferwerda, Markus Schedl, Marko Tkalcic, 2016, WWW.

Fusing Social Media Cues: Personality Prediction from Twitter and Instagram

Bruce Ferwerda, Markus Schedl, Marko Tkalcic, 2016, WWW.

The Million Musical Tweet Dataset - What We Can Learn From Microblogs

Markus Schedl, Marko Tkalcic, Andrej Kosir, 2013, ISMIR.

Eudaimonic Modeling of Moviegoers

Bruce Ferwerda, Marko Tkalcic, 2018, UMAP.

Comparison of an Emotion Detection Technique on Posed and Spontaneous Datasets

Jurij F. Tasic, Marko Tkalcic, J. Tasic, 2010 .

Third workshop on theory-informed user modeling for tailoring and personalizing interfaces (HUMANIZE): preface

Panagiotis Germanakos, Mark P. Graus, Bruce Ferwerda, 2019, IUI Companion.

UMAP 2017 Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems: Organizers' Welcome & Organization

Peter Knees, Marko Tkalcic, Alan Said, 2017, UMAP.

Exploring Online Music Listening Behaviors of Musically Sophisticated Users

Bruce Ferwerda, Marko Tkalcic, M. Tkalcic, 2019, UMAP.

Preface to the special issue on personality in personalized systems

Daniele Quercia, Marko Tkalcic, Sabine Graf, 2016, User Modeling and User-Adapted Interaction.

Algorithms for Group Recommendation

Alexander Felfernig, Martin Stettinger, Marko Tkalcic, 2018 .

On the Influence of User Characteristics on Music Recommendation Algorithms

Katayoun Farrahi, Markus Schedl, Marko Tkalcic, 2015, ECIR.

Addressing the New User Problem with a Personality Based User Similarity Measure

Marko Tkalcic, M. Tkalcic, 2011 .

A dataset of multimedia material about classical music: PHENICX-SMM

Markus Schedl, Mark S. Melenhorst, Marko Tkalcic, 2016, 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI).

The impact of weak ground truth and facial expressiveness on affect detection accuracy from time-continuous videos of facial expressions

Ante Odic, Marko Tkalcic, Andrej Kosir, 2013, Inf. Sci..

LDOS-CoMoDa dataset

Jurij F. Tasic, Marko Tkalcic, Andrej Košir, 2012 .

The influence of inertial loading on color gamut properties of a TFT LCD display

Janez Diaci, Marko Tkalcic, Simon Grbec, 2008, Displays.

Managing Irrelevant Contextual Categories in a Movie Recommender System

Ante Odic, Marko Tkalcic, Andrej Kosir, 2013, Decisions@RecSys.

Prediction of music pairwise preferences from facial expressions

Francesco Ricci, Marko Tkalcic, Mehdi Elahi, 2019, IUI.

You Are What You Post: What the Content of Instagram Pictures Tells About Users' Personality

Bruce Ferwerda, Marko Tkalcic, 2018, IUI Workshops.

Human Decisions in User Modeling: Motivation, Procedure and Example Application

Ante Odic, Marko Tkalcic, Andrej Kosir, 2014, UMAP Workshops.

Exploiting implicit affective labeling for image recommendations

Jurij F. Tasic, Ante Odic, Marko Tkalcic, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Second workshop on theory-informed user modeling for tailoring and personalizing interfaces (HUMANIZE) : workshop preface

Panagiotis Germanakos, Mark P. Graus, Bruce Ferwerda, 2018, IUI 2018.

Using affective parameters in a content-based recommender system for images

Marko Tkalcic, Andrej Kosir, Urban Burnik, 2010, User Modeling and User-Adapted Interaction.

Pairwise Preferences Based Matrix Factorization and Nearest Neighbor Recommendation Techniques

Francesco Ricci, Marko Tkalcic, Saikishore Kalloori, 2016, RecSys.

Exploring Music Diversity Needs Across Countries

Bruce Ferwerda, Markus Schedl, Marko Tkalcic, 2016, UMAP.

The Role of Social Signals in Telecommunication: Experimental Design

Marko Tkalcic, Andrej Kosir, Tomaz Vodlan, 2013, UMAP Workshops.

How item discovery enabled by diversity leads to increased recommendation list attractiveness

Mark P. Graus, Bruce Ferwerda, Markus Schedl, 2017, SAC.

Predicting Personality Traits with Instagram Pictures

Bruce Ferwerda, Markus Schedl, Marko Tkalcic, 2015, EMPIRE@RecSys.

Affective recommender systems: The role of emotions in recommender systems

Marko Tkalcic, Andrej Košir, Jurij F. Tasic, 2011 .

UMAP'18 Workshop &Tutorial Chairs' Welcome (overview) & Organization List

Marco Degemmis, Marko Tkalcic, 2018, UMAP.

Using Instagram Picture Features to Predict Users' Personality

Bruce Ferwerda, Markus Schedl, Marko Tkalcic, 2016, MMM.

Personality-Based Active Learning for Collaborative Filtering Recommender Systems

Francesco Ricci, Marko Tkalcic, Mehdi Elahi, 2013, AI*IA.

Personality Traits and Music Genre Preferences: How Music Taste Varies Over Age Groups

Bruce Ferwerda, Markus Schedl, Marko Tkalcic, 2017, RecTemp@RecSys.

A News Recommender System for Media Monitoring

Marko Tkalcic, Bernardo Magnini, Alberto Lavelli, 2019, 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists

Mark P. Graus, Bruce Ferwerda, Markus Schedl, 2016, EMPIRE@RecSys.

How to improve the statistical power of the 10-fold cross validation scheme in recommender systems

Ante Odic, Marko Tkalcic, Andrej Kosir, 2013, RepSys '13.

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

Marko Tkalcic, Andrej Košir, Berardina De Carolis, 2016, EMPIRE@RecSys.

EMPIRE 2015: Workshop on Emotions and Personality in Personalized Systems

Marco Degemmis, Ante Odic, Marko Tkalcic, 2015, RecSys.

The impact of hesitation, a social signal, on a user’s quality of experience in multimedia content retrieval

Marko Tkalcic, Andrej Kosir, Tomaz Vodlan, 2015, Multimedia Tools and Applications.

Decision Tasks and Basic Algorithms

Alexander Felfernig, Martin Stettinger, Marko Tkalcic, 2018 .

Personality and Recommender Systems

Li Chen, Marko Tkalcic, M. Tkalcic, 2015, Recommender Systems Handbook.

Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming services

Bruce Ferwerda, Markus Schedl, Marko Tkalcic, 2019, Multimedia Tools and Applications.

ACM RecSys'19 late-breaking results (posters)

Marko Tkalcic, Maria Soledad Pera, 2019, RecSys.

Personality Based User Similarity Measure for a Collaborative Recommender System

Marko Tkalcic, M. Tkalcic, 2009 .

Impact of the Context Relevancy on Ratings Prediction in a Movie-Recommender System

Jurij F. Tasic, Marko Tkalcic, Andrej Košir, 2013 .

Emotional properties of latent factors in an image recommender system

Jurij F. Tasic, Marko Tkalcic, Andrej Košir, 2011 .

Affective and Personality Corpora

Ante Odic, Marko Tkalcic, Andrej Kosir, 2017, Emotions and Personality in Personalized Services.

Personality and Social Context: Impact on Emotion Induction from Movies

Jurij F. Tasic, Ante Odic, Marko Tkalcic, 2013, UMAP Workshops.

Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces

Panagiotis Germanakos, Mark P. Graus, Bruce Ferwerda, 2017, HUMANIZE@IUI.

A Research Tool for User Preferences Elicitation with Facial Expressions

Francesco Ricci, Marko Tkalcic, Mehdi Elahi, 2017, RecSys.

Emotions and Personality in Personalized Systems

Marco Degemmis, Marko Tkalcic, Andrej Kosir, 2016, Interaction Design and Architecture(s).

Personality Traits Predict Music Taxonomy Preferences

Bruce Ferwerda, Markus Schedl, Marko Tkalcic, 2015, CHI Extended Abstracts.

Exploring the Power of Visual Features for the Recommendation of Movies

Christoph Trattner, Marko Tkalcic, Farshad Bakhshandegan Moghaddam, 2019, UMAP.

Using Social Media Mining for Estimating Theory of Planned Behaviour Parameters

Bruce Ferwerda, Markus Schedl, Mark S. Melenhorst, 2014, UMAP Workshops.

Explanations for Groups

Alexander Felfernig, Martin Stettinger, Marko Tkalcic, 2018 .

"I'd like it to do the opposite": Music-Making Between Recommendation and Obstruction

Peter Knees, Marko Tkalcic, Kristina Andersen, 2015, DMRS.

Emotions and personality in recommender systems: tutorial

Marko Tkalcic, 2018, RecSys.

Theory-driven Recommendations: Modeling Hedonic and Eudaimonic Movie Preferences

Bruce Ferwerda, Marko Tkalcic, 2018, IIR.

IUI'17 Companion-Workshop Summary for HUMANIZE'17

Panagiotis Germanakos, Mark P. Graus, Bruce Ferwerda, 2017, IUI Companion.

Affective Labeling in a Content-Based Recommender System for Images

Jurij F. Tasic, Ante Odic, Marko Tkalcic, 2013, IEEE Transactions on Multimedia.

Genre-based Analysis of Social Media Data on Music Listening Behavior: Are Fans of Classical Music Really Averse to Social Media?

Markus Schedl, Marko Tkalcic, 2014, WISMM '14.

Introduction to Emotions and Personality in Personalized Systems

Marco Degemmis, Ante Odic, Marko Tkalcic, 2017, Emotions and Personality in Personalized Services.

The IEEE Region 8 EUROCON 2003, computer as a tool : 22-24 September 2003, Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia : proceedings

Baldomir Zajc, Marko Tkalcic, Ieee Region Eurocon, 2003 .

Media Monitoring using News Recommenders

Marko Tkalcic, Bernardo Magnini, Alberto Lavelli, 2019, IIR.

Investigating the impact of recommender systems on user-based and item-based popularity bias

Marko Tkalcic, Mehdi Elahi, Mohammad Sina Kiarostami, 2021, Inf. Process. Manag..

Psychological Models for Personalized Human-Computer Interaction (HCI)

Li Chen, Bruce Ferwerda, Marko Tkalcic, 2021, Frontiers Research Topics.

Recommending Videos in Cold Start With Automatic Visual Tags

Christoph Trattner, Marko Tkalcic, Tammam Tillo, 2021, UMAP.

Fifth HUMANIZE workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory: Summary

Panagiotis Germanakos, Mark P. Graus, Bruce Ferwerda, 2021, IUI Companion.

SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE)

Giuseppe Sansonetti, Fabio Gasparetti, Cristina Gena, 2021, IUI Companion.

Predicting Music Relistening Behavior Using the ACT-R Framework

Markus Schedl, Marko Tkalcic, Elisabeth Lex, 2021, RecSys.

Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations

Nava Tintarev, Marko Tkalcic, Shabnam Najafian, 2021, HT.

Factors Influencing Privacy Concern for Explanations of Group Recommendation

Nava Tintarev, Marko Tkalcic, Shabnam Najafian, 2021, UMAP.

Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems (SOAP)

Peter Knees, Marko Tkalcic, Alan Said, 2016 .

Personality, Emotions, and Group Dynamics

Alexander Felfernig, Martin Stettinger, Marko Tkalcic, 2018 .

To Post or Not to Post : The Effects of Persuasive Cues and Group Targeting Mechanisms on Posting Behavior

Bruce Ferwerda, Markus Schedl, Marko Tkalcic, 2014 .