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Personalized Information Retrieval Method considering Participating Device in Internet of Things

사물인터넷에서 참여 기기를 고려한 개인화 정보 검색 기법

  • 권준희 (경기대학교 컴퓨터공학부)
  • Received : 2020.02.17
  • Accepted : 2020.03.02
  • Published : 2020.03.30

Abstract

Internet of Things is growing rapidly. As it evolves, the amount of data is increasing significantly. It requires a new personalized information retrieval method. Internet of Things is defined as uniquely identifiable interoperable connected object. The first definition of Internet of Things was from Things oriented perspective. However, previous studies about personalized information retrieval method do not consider Things. To meet user's individual needs, previous studies concentrate on only human, not Things. In this paper, we propose a personalized information retrieval method considering participating device in Internet of Things. It provides personalized information using data type preference for each device. Moreover, it provides personalized results by integrating data type preference for set of devices. This paper describes a new personalized retrieval method and algorithm. It consists of five steps. Then, it presents four scenarios using proposed method. The scenarios show our work is more effective and efficient than existing one.

Acknowledgement

Supported by : 경기대학교

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