Bruce Ferwerda, Markus Schedl,
"Enhancing Music Recommender Systems with Personality Information and Emotional States: A Proposal."
: Proceedings of the 2nd Workshop on Emotions and Personality in Personalized Services (EMPIRE), at the 22nd Conference on User Modeling, Adaptation and Personalization (UMAP), Aalborg, Denmark, 2014
Original Titel:
Enhancing Music Recommender Systems with Personality Information and Emotional States: A Proposal.
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 2nd Workshop on Emotions and Personality in Personalized Services (EMPIRE), at the 22nd Conference on User Modeling, Adaptation and Personalization (UMAP), Aalborg, Denmark
Original Kurzfassung:
This position paper describes the initial research assump-
tions to improve music recommendations by including personality and
emotional states. By including these psychological factors, we believe
that the accuracy of the recommendation can be enhanced. We will give
attention to how people use music to regulate their emotional states, and
how this regulation is related to their personality. Furthermore, we will
focus on how to acquire data from social media (i.e., microblogging sites
such as Twitter) to predict the current emotional state of users. Finally,
we will discuss how we plan to connect the correct emotionally laden
music pieces to support the emotion regulation style of users.
Forschungs-