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Semantics Environment for U-health Service driven Naive Bayesian Filtering for Personalized Service Recommendation Method in Digital TV

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2012, 17(8), pp.81-90
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Jaekwon Kim 1 Youngho Lee 2 Jong Hun Kim 3 박동균 4 Un Gu Kang 2

1인하대학교
2가천대학교
3(주)비트컴퓨터
4가천대 길병원 유헬스케어센터

Accredited

ABSTRACT

For digital TV, the recommendation of u-health personalized service of semantic environment should be done after evaluating individual physical condition, illness and health condition. The existing recommendation method of u-health personalized service of semantic environment had low user satisfaction because its recommendation was dependent on ontology for analyzing significance. We propose the personalized service recommendation method based on Naive Bayesian Classifier for u-health service of semantic environment in digital TV. In accordance with the proposed method, the condition data is inferred by using ontology, and the transaction is saved. By applying naive bayesian classifier that uses preference information, the service is provided after inferring based on user preference information and transaction formed from ontology. The service inferred based on naive bayesian classifier shows higher precision and recall ratio of the contents recommendation rather than the existing method.

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