A ringtone recommendation agent based on a bayesian model of user emotion

Yongjun Kim, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Pages542-546
Number of pages5
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009 - Shanghai, China
Duration: 2009 Nov 202009 Nov 22

Publication series

NameProceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Volume1

Other

Other2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
CountryChina
CityShanghai
Period09/11/2009/11/22

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Control and Systems Engineering

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  • Cite this

    Kim, Y., & Cho, S. B. (2009). A ringtone recommendation agent based on a bayesian model of user emotion. In Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009 (pp. 542-546). [5357783] (Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009; Vol. 1). https://doi.org/10.1109/ICICISYS.2009.5357783