NDLI: A ringtone recommendation agent based on a Bayesian model of user emotion

Content Provider	IEEE Xplore Digital Library
Author	Yongjun Kim Sung-Bae Cho
Copyright Year	2009
Description	Author affiliation: Department of Computer Science, Yonsei University, Seoul, Korea (Yongjun Kim; Sung-Bae Cho)
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.
Starting Page	542
Ending Page	546
File Size	222177
Page Count	5
File Format	PDF
ISBN	9781424447541
DOI	10.1109/ICICISYS.2009.5357783
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Technological innovation Personalization Bayesian Network Recommendation System Mobile handsets Sensor systems Intelligent agent Global Positioning System Microphones Computer science Intelligent Agent Bayesian methods Feedback Context-aware Vibration control
Content Type	Text
Resource Type	Article

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