Marko Tkalcic, Bruce Ferwerda, Markus Schedl, C.C.S. Liem, Mark Melenhorst, Ante Odic, A. Kosir,
"Using social media mining for estimating theory of planned behaviour parameters"
: 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:
Using social media mining for estimating theory of planned behaviour parameters
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:
In this position paper we present the scenario of making in-
terventions for increasing the classical music concert-going behaviour of
end users. Within the FP7 Phenicx project we are developing a person-
alized persuasive system that attempts at changing the concert-going
behaviour of users. The system is based on the theory of planned be-
haviour user model for predicting whether a user will attend a concert
or not. Our goal is to develop a machine learning algorithm that will ex-
tract the user model parameters unobtrusively from the micro-blogs of
the users. We plan to perform a user study to build the training dataset
and to test the system on real users within the project.