M. Tkal?i?, Markus Schedl, Peter Knees,
"Preface to the Special Issue on User Modeling for Personalized Interaction with Music"
, in User Modeling and User-Adapted Interaction (UMUAI) - The Journal of Personalization Research, Vol. 30, Nummer 2, Seite(n) 195-198, 2020
Preface to the Special Issue on User Modeling for Personalized Interaction with Music
Sprache des Titels:
Music search, retrieval, and recommendation systems have experienced a boom dur?ing the past few years due to streaming services providing access to huge catalogs anywhere and anytime. These streaming services collect the user behavior in terms of actions on music items, such as play, skip, playlist creation, and modification. As a result, an abundance of user and usage data has been collected and is avail?able to companies and academics, allowing for user profiling and to create personal?ized music search and recommendation systems. The importance and timeliness of research on such personalized music systems is evidenced by publications in ven?ues including the ACM Conference on Recommender Systems, ACM Conference on User Modeling, Adaptation and Personalization, International Society for Music Information Retrieval Conference, the ACM Special Interest Group on Informa?tion Retrieval Conference, ACM CHI Conference on Human Factors in Computing Systems, and the ACM International Conference on Intelligent User Interfaces, as well as in journals including IEEE Transactions on Affective Computing and ACM Transactions on Intelligent Systems and Technology, in addition to UMUAI. On the other hand, there are still plenty of unsolved challenges. In particular, scholars have identified as some of the most vital ones: understanding and modeling users, person?alization of recommendation and retrieval systems, user adaptivity in interfaces, and context awareness
Sprache der Kurzfassung:
User Modeling and User-Adapted Interaction (UMUAI) - The Journal of Personalization Research