A Ringtone Recommendation Agent based on a Bayesian Model of User Emotion

被引：3

作者：

Kim, Yongjun ^{[1
]}

Cho, Sung-Bae ^{[1
]}

机构：

[1] Yonsei Univ, Dept Comp Sci, Seoul 120749, South Korea

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 1 | 2009年

关键词：

Context-aware; Recommendation System; Intelligent Agent; Personalization; Bayesian Network;

D O I：

10.1109/ICICISYS.2009.5357783

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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

引用

页码：542 / 546

页数：5

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