DOI QR코드

DOI QR Code

Recommendation Method considering New User in Internet of Things Environment

사물인터넷 환경에서 새로운 사용자를 고려한 정보 추천 기법

  • 권준희 (경기대학교 컴퓨터과학과) ;
  • 김성림 (서일대학교 소프트웨어공학과)
  • Received : 2017.02.27
  • Accepted : 2017.03.14
  • Published : 2017.03.30

Abstract

With the popularization of mobile devices, the number of social network service users is increasing, thereby the amount of data is also increasing accordingly. As Internet of Things environment is expanding to connect things and people, there is information much more than before. In such an environment, it becomes very important to recommend the necessary information to the user. In this paper, we propose a recommendation method that considers new users in IoT environment. In the proposed method, we recommend the information by applying the centrality-based social network analysis method to the recommendation method using the social relationships in the social IoT. We describe the seven-step recommendation method and apply them to the music circle scenario of the IoT environment. Through the music circle scenario, we show that we can recommend more suitable information to new users in the IoT environment than the existing recommendation method.

Keywords

References

  1. 최성찬, 류민우, 진남, 김재호, "사물인터넷 플랫폼 및 서비스 동향," 한국통신학회, 한국통신학회지(정보와 통신), 제31권, 4호, 2014.3, pp. 20-27.
  2. 신동희, 정재열, 강성현, "사물인터넷 동향과 전망," 한국인터넷정보학회 인터넷정보학회지, 제 14권, 2호, 2013.6, pp. 32-46.
  3. 신동희, 정재열, 강성현, "사물인터넷 동향과 전망," 인터넷정보학회지, 제14권, 2호, 2013. 6, pp. 32-46.
  4. Ashton, Kevin. "That 'Internet of Things' Thing," RFiD Journal 22, 2009, pp. 97-114.
  5. 주대영, 김종기, "초연결시대 사물인터넷(IoT)의 창조적 융합 활성화 방안," 산업연구원(KiET) ISSUE PAPER, 2014-342, 2014.
  6. ITU Internet Reports, The Internet of Things, November 2005.
  7. 권준희, 김성림, "소셜사물인터넷(SIoT)에 대한 이해와 기술 동향," 대한전자공학회, 전자공학회지, 제42권, 3호, 2015.3, pp.33-39.
  8. Luigi Atzori, Antonio Iera, Giacomo Morabito and Michele Nitti, "The Social Internet of Things (SIoT) - When social networks meet the Internet of Things: Concept, architecture and network characterization," The International Journal of Computer and Telecommunications Networking, Vol. 56, Issue 16, 2012, pp. 3594-3608.
  9. Sarwar, Badrul; Karypis, George; Konstan, Joseph; Riedl, John, "Item-based collaborative filtering recommendation algorithms," Proceedings of the 10th international conference on the World Wide Web (ACM), 2001, pp. 285-295.
  10. 박종학, 조윤호, 김재경, "사회연결망: 신규고객 추천문제의 새로운 접근법," 지능정보연구, 제15권, 1호, 2009, pp. 123-140.
  11. 김성림, 권준희, "사물인터넷 환경에서 소셜 네트워크를 기반으로 한 정보 추천 기법," 디지털산업정보학회지, 제11권, 1호, 2015, pp. 47-57.
  12. 손지은, 김성범, 김현중, 조성준, "추천 시스템 기법 연구동향 분석," 대한산업공학회지, 제41권, 2호, 2015, pp. 185-208. https://doi.org/10.7232/JKIIE.2015.41.2.185
  13. 곽기영, 소셜 네트워크 분석, 청람, 2014.
  14. 손동원, 사회 네트워크 분석, 경문사, 2008.
  15. 표철식, "사물인터넷 기술 동향," 한국전자파학회 전자파기술, 제25권, 4호, 2014.7, pp. 49-58.
  16. 미래창조과학부, 사물인터넷기본 계획, 2014.
  17. Luigi Atzori, Antonio Iera, Giacomo Morabito, "SIoT: Giving a Social Structure to the Internet of Things," IEEE Communications Letters, Vol. 15, No. 11, Nov. 2011, pp. 1193-1195. https://doi.org/10.1109/LCOMM.2011.090911.111340
  18. Atzori, L. Iera, A. Morabito, G. "Making things socialize in the Internet - Does it help our lives?," Kaleidoscope 2011: The Fully Networked Human? - Innovations for Future Networks and Services (K-2011), Proceedings of ITU, pp. 1-8.
  19. Michele Nitti, Roberto Girau, and Luigi Atzori, "Trustworthiness Management in the Social Internet of Things," IEEE Transactions on knowledge and data engineering, Vol. 26, No. 5, 2014, pp. 253-1266. https://doi.org/10.1109/TKDE.2014.2

Cited by

  1. 핀 아트 기술을 활용한 재구성 가능한 데스크 설계 vol.15, pp.2, 2017, https://doi.org/10.17662/ksdim.2019.15.2.063
  2. 초기 사용자 문제 개선을 위한 앱 기반의 추천 기법 vol.15, pp.3, 2017, https://doi.org/10.17662/ksdim.2019.15.3.069
  3. A Situation-Based Recommendation System for Exploiting User's Mood vol.15, pp.3, 2019, https://doi.org/10.17662/ksdim.2019.15.3.129