Marko Tkalčič
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View article: Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters
Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters Open
In the area of recommender systems, the vast majority of research efforts is spent on developing increasingly sophisticated recommendation models, also using increasingly more computational resources. Unfortunately, most of these research …
View article: Soundtracks of Our Lives: How Age Influences Musical Preferences
Soundtracks of Our Lives: How Age Influences Musical Preferences Open
The majority of research in recommender systems, be it algorithmic improvements, context-awareness, explainability, or other areas, evaluates these systems on datasets that capture user interaction over a relatively limited time span. Howe…
View article: Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters
Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters Open
In the area of recommender systems, the vast majority of research efforts is spent on developing increasingly sophisticated recommendation models, also using increasingly more computational resources. Unfortunately, most of these research …
View article: Hybrid music recommendation with graph neural networks
Hybrid music recommendation with graph neural networks Open
Modern music streaming services rely on recommender systems to help users navigate within their large collections. Collaborative filtering (CF) methods, that leverage past user–item interactions, have been most successful, but have various…
View article: SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2024
SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2024 Open
This is the fourth edition of the SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) workshop. Like the three preceding editions, this year's primary aim is to provide an occasion for everyone keen on exploring and ad…
View article: HUMANIZE'24: Seventh Edition
HUMANIZE'24: Seventh Edition Open
The seventh HUMANIZE workshop1 on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory took place in conjunction with the 29th annual meeting of the Intelligent User Interfaces (IUI)2 c…
View article: Prediction of Eudaimonic and Hedonic Orientation of Movie Watchers
Prediction of Eudaimonic and Hedonic Orientation of Movie Watchers Open
Personality accounts for how individuals differ in their enduring emotional, interpersonal, experiential, attitudinal and motivational styles. Personality, especially in the form of the Five Factor Model, has shown usefulness in personaliz…
View article: Editorial: User Modeling and Recommendations
Editorial: User Modeling and Recommendations Open
EDITORIAL article Front. Big Data, 25 May 2022Sec. Data Mining and Management https://doi.org/10.3389/fdata.2022.923397
View article: Predicting Music Relistening Behavior Using the ACT-R Framework
Predicting Music Relistening Behavior Using the ACT-R Framework Open
Providing suitable recommendations is of vital importance to improve the user satisfaction of music recommender systems. Here, users often listen to the same track repeatedly and appreciate recommendations of the same song multiple times. …
View article: Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations
Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations Open
Recent research has shown that explanations serve as an important means to increase transparency in group recommendations while also increasing users' privacy concerns. However, it is currently unclear what personal and contextual factors …
View article: Factors Influencing Privacy Concern for Explanations of Group Recommendation
Factors Influencing Privacy Concern for Explanations of Group Recommendation Open
Explanations can help users to better understand why items have been recommended. Additionally, explanations for group recommender systems need to consider further goals than single-user recommender systems. For example, we need to balance…
View article: Editorial: Psychological Models for Personalized Human-Computer Interaction (HCI)
Editorial: Psychological Models for Personalized Human-Computer Interaction (HCI) Open
EDITORIAL article Front. Psychol., 06 April 2021 | https://doi.org/10.3389/fpsyg.2021.673092
View article: MVT9KD
MVT9KD Open
MVT9KD provides auto-generated visual tags for over 9000 movie trailers. The movie IDs are in agreement with the movie IDs provided by "MovieLens (ML) dataset" (ML-20M or ML Latest Version). All the movie titles, ratings and associated mov…
View article: MVT9KD
MVT9KD Open
MVT9KD provides auto-generated visual tags for over 9000 movie trailers. The movie IDs are in agreement with the movie IDs provided by "MovieLens (ML) dataset" (ML-20M or ML Latest Version). All the movie titles, ratings and associated mov…
View article: MVT9KD
MVT9KD Open
MVT9KD provides auto-generated visual tags for over 9000 movie trailers. The movie IDs are in agreement with the movie IDs provided by "MovieLens (ML) dataset" (ML-20M or ML Latest Version). All the movie titles, ratings and associated mov…
View article: A Comparison of Human and Computational Melody Prediction Through Familiarity and Expertise
A Comparison of Human and Computational Melody Prediction Through Familiarity and Expertise Open
Melody prediction is an important aspect of music listening. The success of prediction, i.e., whether the next note played in a song is the same as the one predicted by the listener, depends on various factors. In the paper, we present two…
View article: Exploring the Prediction of Personality Traits from Drug Consumption Profiles
Exploring the Prediction of Personality Traits from Drug Consumption Profiles Open
The number of people that have been in touch with drugs is continuously increasing. Excessive intake of drugs becomes problematic when it turns into disorderly behaviors, such as addictions. In order to treat these disorderly behaviors, tr…
View article: MA14KD [ORIGINAL] Dataset: Visual Attraction of Movie Trailers
MA14KD [ORIGINAL] Dataset: Visual Attraction of Movie Trailers Open
MA14KD (Movie Attract 14K Dataset) provides a set of 10 VISUAL features extracted from 14074 movie and tv series trailers. The movie IDs are in agreement with the movie IDs provided by another rating dataset that also contains movie genres…
View article: MA14KD [AGGREGATED] Dataset: Visual Attraction of Movie Trailers
MA14KD [AGGREGATED] Dataset: Visual Attraction of Movie Trailers Open
MA14KD (Movie Attract 14K Dataset) provides a set of 181 aggregated VISUAL features extracted from 14074 movie and tv series trailers. The movie IDs are in agreement with the movie IDs provided by another rating dataset that also contains …
View article: MA14KD [AGGREGATED] Dataset: Visual Attraction of Movie Trailers
MA14KD [AGGREGATED] Dataset: Visual Attraction of Movie Trailers Open
MA14KD (Movie Attract 14K Dataset) provides a set of 181 aggregated VISUAL features extracted from 14074 movie and tv series trailers. The movie IDs are in agreement with the movie IDs provided by another rating dataset that also contains …
View article: MA14KD [ORIGINAL] Dataset: Visual Attraction of Movie Trailers
MA14KD [ORIGINAL] Dataset: Visual Attraction of Movie Trailers Open
MA14KD (Movie Attract 14K Dataset) provides a set of 10 VISUAL features extracted from 14074 movie and tv series trailers. The movie IDs are in agreement with the movie IDs provided by another rating dataset that also contains movie genres…
View article: Exploring Online Music Listening Behaviors of Musically Sophisticated Users
Exploring Online Music Listening Behaviors of Musically Sophisticated Users Open
Due to the rise of available online music, a lot of music consumption is moving from traditional offline media to online sources. Online music sources offer almost an unlimited music collection to its users. Hence, how music is consumed by…
View article: Third workshop on theory-informed user modeling for tailoring and personalizing interfaces (HUMANIZE)
Third workshop on theory-informed user modeling for tailoring and personalizing interfaces (HUMANIZE) Open
The third workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE)(1) took place in conjunction with the 24th annual meeting of the intelligent user interfaces (IUI)(2) community in Los Angeles, CA, U…