Title :
A ringtone recommendation agent based on a Bayesian model of user emotion
Author :
Kim, Yongjun ; Cho, Sung-Bae
Author_Institution :
Dept. of Comput. Sci., Yonsei Univ., Seoul, South Korea
Abstract :
This paper presents a ringtone recommendation agent system which utilizes user´s emotion to recommend an appropriate ringtone and the suitable volume level of a mobile phone. The system uses a Bayesian network (BN) to infer user´s emotion and the volume level at the current situation. After inferring user´s emotion, a ringtone is selected from the pool of various kinds of genres of ringtones. Also, the volume level can be controlled according to the inferred volume level. User´s feedback on the inferred values can be used to retrain the BN to provide the user with a personalized service. Experimental results showed that the proposed system is quite convenient and very useful.
Keywords :
belief networks; inference mechanisms; mobile agents; mobile computing; mobile handsets; recommender systems; ubiquitous computing; Bayesian model; context-awareness; mobile phone; personalized service; ringtone recommendation agent system; user emotion; user emotion inference; user feedback; Bayesian methods; Computer science; Feedback; Global Positioning System; Intelligent agent; Microphones; Mobile handsets; Sensor systems; Technological innovation; Vibration control; Bayesian Network; Context-aware; Intelligent Agent; Personalization; Recommendation System;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5357783
