The music domain is among the most important ones for adopting recommender systems
technology. In contrast to most other recommendation domains, which predominantly rely on …

Providing system-generated explanations for recommendations represents an important
step toward transparent and trustworthy recommender systems. Explainable recommender …

Purpose Although the short-video-based application TikTok and its AI-enhanced technology
have achieved enormous success and reshaped the user experience, few studies have …

Recommender systems have been increasingly used in online services that we consume
daily, such as Facebook, Netflix, YouTube, and Spotify. However, these systems are often …

Due to the prominent role of recommender systems in our daily lives, it is increasingly
important to inform users why certain items are recommended and personalize these …

Gender classification of mobile devices' users has drawn a great deal of attention for its
applications in healthcare, smart spaces, biometric-based access control systems and …

Conversational recommender systems (CRSs) imitate human advisors to assist users in
finding items through conversations and have recently gained increasing attention in …

Previous research has found that enabling users to control the recommendation process
increases user satisfaction. However, providing additional controls also increases cognitive …

Music recommender systems typically offer a “one-size-fits-all” approach with the same user
controls and visualizations for all users. However, the effectiveness of interactive interfaces …

Recommender systems are efficient at predicting users' current preferences, but how users'
preferences develop over time is still under-explored. In this work, we study the development …