Loading...
Please wait, while we are loading the content...
Using social media mining for estimating theory of planned behaviour parameters.
| Content Provider | CiteSeerX |
|---|---|
| Author | Ferwerda, Bruce Schedl, Markus Liem, Cynthia |
| Abstract | Abstract. 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. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Estimating Theory Social Medium Mining Planned Behaviour Parameter Position Paper Person-alized Persuasive System End User Concert-going Behaviour Real User Training Dataset Fp7 Phenicx Project User Model Parameter User Study Classical Music Concert-going Behaviour Be-haviour User Model |
| Content Type | Text |
| Resource Type | Article |
