DOI QR코드

DOI QR Code

Social Search Scheme Considering Recent Preferences of Social Media Users

소셜 미디어 사용자의 최근 관심사를 고려한 소셜 검색 기법

  • 송진우 (충북대학교 정보통신공학과) ;
  • 전현욱 (충북대학교 정보통신공학과) ;
  • 김민수 (충북대학교 정보통신공학과) ;
  • 김기훈 (충북대학교 정보통신공학과) ;
  • 노연우 (충북대학교 정보통신공학과) ;
  • 임종태 (충북대학교 정보통신공학과) ;
  • 복경수 (충북대학교 정보통신공학과) ;
  • 유재수 (충북대학교 정보통신공학과)
  • Received : 2016.10.28
  • Accepted : 2016.12.05
  • Published : 2017.02.28

Abstract

The existing social search has a problem that search results are not suitable for a user since it does not take into account the recency of the user profile and the interests of similar users. Therefore, studies on a social search considering a temporal attribute and the interests of other users are required. In this paper, we propose a social search scheme that takes into account the recent interests of a user by time and the interests of the most similar users. The proposed scheme analyzes the activity information of a social media user in order to take into account the recent interests of the user. And then the proposed scheme improves the satisfaction and accuracy of search results by combining the interests of similar users with the analyzed information and performing ranking, It is shown through performance evaluation that the proposed scheme outperforms the existing scheme.

Keywords

Social Search;Personalized Search;Social Media;Social Network;Preference

Acknowledgement

Supported by : 한국연구재단, 정보통신기술진흥센터

References

  1. M. J. Morris, "Teevan and K. Panovich, "What Do People Ask Their Social Networks, and Why?," Proc. International Conference on Human Factors in Computing Systems, pp.1739-1748, 2010.
  2. 김주영, 조찬형, 장세정, 윤은정, "2015년 모바일인터넷이용실태조사 최종보고서," 한국인터넷 진흥원, 2015.
  3. S. Xu, S. Bao, B. Fei, Z. Su, and Y. Yu, "Exploring folksonomy for personalized search," Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.155-162, 2008.
  4. M. Claypool, P. Le, M. Waseda, and D. Brown, "Implicit interest indicators," Proc. International Conference on Intelligent User Interfaces, pp.33-40, 2001.
  5. B. Carterette and R. Jones, "Evaluating Web Search Engines Using Clickthrough Data," Proc. International ACM SIGIR Conference, 2007.
  6. D. Horowitz and D.Kamvar, "The Anatomy of a LargeScale Social Search Engine," Proc. International Conference on World Wide Web, pp.431-440, 2010.
  7. S. Bao, G. Xue, X. Wu, Y.Yu, B. Fei, and Z.Su, "Optimizing Web Search Using Social Annotations," Proc. International Conference on World Wide Web, pp.501-510, 2007.
  8. A. Kashyap, R. Amini, and V. Hristidis, "SonetRank: Leveraging Social Networks to Personalize Search," Proc. ACM International Conference on Information and knowledge management, pp.2045-2049, 2012.
  9. O. Shafiq, R. Alhajj, and John G. Rokne, "On personalizing Web search using social network analysis," International Journal of Information Sciences, Vol.314, pp.55-76, 2015. https://doi.org/10.1016/j.ins.2015.02.029
  10. K. Collins-Thompson, P. N. Bennett, R. W. White, S. de la Chica, and D. Sontag, "Personalizing Web Search Results by Reading Level," Proc. ACM International Conference on Information and knowledge management, pp.403-412, 2011.
  11. 이동균, 권준희, "최근 사용자 관심사를 고려한 소셜 검색 알고리즘," 한국정보기술학회논문지, 제9권, 제4호, pp.187-194, 2011.
  12. Y. A. Kim and G. W. Park, "Topic-Driven SocialRank: Personalized search result ranking by identifying similar, credible users in a social network," International Journal of Knowledge-Based Systems, Vol.54, pp.230-242, 2013. https://doi.org/10.1016/j.knosys.2013.09.011
  13. 복경수, 안민제, 임종태, 유재수, "모바일 환경에서 시간 속성을 고려한 효율적인 위치 기반 소셜 검색," 정보과학회논문지, 제20권, 제4호, pp.243-247, 2014.
  14. T. Berners-Lee, J. Hendler, and O. Lassila, The Semantic Web, Scientific American Magazine, 2001.
  15. M. Dean and G. Schreiber, OWL Web Ontology Language, 2004.
  16. B. Chazelle and L. J. Guibas, "Fractional cascading: I. A data structuring technique," International Journal of Algorithmica, Vol.1, No.2, pp.133-162, 1986. https://doi.org/10.1007/BF01840440