Journal of the Korean Society for information Management (정보관리학회지)

Korean Society for Information Management (한국정보관리학회)
권호 표지
DOI QR코드

DOI QR Code

Social Search in the Context of Social Navigation

사회적 네비게이션 기반 사회적 검색

  • Ahn, Jae-Wook (School of Information Science and telecommunications, University of Pittsburgh) ;
  • Farzan Rosta (Intelligent System program, University of Pittsburgh) ;
  • Brusilovsky Peter (School of Information Science and telecommunications, University of Pittsburgh)
  • Published : 2006.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

The explosive growth of Web-based educational resources requires a new approach for accessing relevant information effectively. Social searching in the context of social navigation is one of several answers to this problem, in the domain of information retrieval. It provides users with not merely a traditional ranked list, but also with visual hints which can guide users to information provided by their colleagues. A personalized and context-dependent social searching system has been implemented on a platform called KnowledgeSea II, an open-corpus Web-based educational support system with multiple access methods. Validity tests were run on a variety of aspects and results have shown that this is an effective way to help users access relevant, essential information.

웹기반 교육 자료들이 폭발적으로 증가함에 따라 적합한 자료들에 보다 효과적으로 접근할 수 있는 방법이 요구되고 있다. 이러한 새로운 방법들 중의 하나로 사회적 네비게이션(social navigation) 기반의 사회적 검색(social searching)이 정보 검색 분야에서 제시되었는데, 이는 동료 이용자들로부터 제공된 정보를 바탕으로 검색 결과의 향상을 추구하는 기법이다. 본 연구에서는 개인화와 사회적 네비게이션에 근거한 웹 기반 사회적 검색 시스템을 구축하였으며 이용자 연구를 통해 이용자에게 적합하고 필수적인 정보를 제공할 수 있는 방법이라는 것을 검증하려 하였다.

Keywords

References

  1. Ahlberg, C., and Shneiderman, B. 1994. 'Visual information seeking : Tight coupling of dynamic query filters with starfield displays.' In : Human Factors in Computing Systems. ACM Press, New York, 313-317
  2. Ahn. J., Farzan, R., and Brusilovsky, P. 2006. 'A Two-Level Adaptive Visualization for Information Access to Open-Corpus Educational Resources.' Accepted to Adaptive Hypermedia 2006 Workshop on the Social Navigation and Community-based Adaptive Techniques
  3. Brusilovsky, P., Chavan, G., and Farzan, R. 2004. 'Social adaptive navigation support for open corpus electronic textbooks.' In : P. De Bra (ed.) Proceedings of Third International Conference on Adaptive Hypermedia and Adaptive WebBased Systems (AH' 2004), EindHoven, the Netherlands
  4. Brusilovsky, P., and Rizzo, R. 2002. 'Using maps and landmarks for navigation between closed and open corpus hyperspace in Web-based education.' The New Review of Hypermedia and Multimedia, 9 : 59-82
  5. Dieberger, A., Dourish, P., Hook, K., Resnick, P., and Wexelblat, A. 2000. ' Social Navigation : Techniques for Building More Usable Systems.' Interactions, 7(6) : 36-45 https://doi.org/10.1145/352580.352587
  6. Dron, J., Boyne, C., and Mitchell, R. 2001. 'Footpaths in the Stuff Swamp. In: Fowler.' W. and Hasebrook, J. (eds.) : Proc. of WebNet' 2001, World Conference of the WWW and Internet. Orlando, FL, AACE, 323-328
  7. Freyne J., Smyth B. 2004. 'An Experiment in Social Search.' In : P. De Bra (ed.) Proceedings of Third International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH' 2004), Eindhoven, the Netherlands
  8. Heylighen F. 1999. 'Collective Intelligence and its Implementation on the Web : algorithm to develop a collective mental map.' Computational and Mathematical Theory of Organizations, 5(3) : 253-280 https://doi.org/10.1023/A:1009690407292
  9. Kohonen, T. 1997. Self-Organizing Maps. Springer-Verlag
  10. Lawrence, S., and Giles, C.L. 1998. 'Context and Page Analysis for Improved Web Search.' IEEE Internet Computing, July-August, pp3846
  11. Olsen, K,A., and Korfhage, R.R.. 1994. ' Desktop visualization.' In Proceedings 1994 IEEE symposium on visual languages, St. Louis, MO : IEEE. pp. 2349-244
  12. Olsen, K.A., Korfhage, R.R., Sochats, K.M., Spring, M.B., and Williams, J.G. 1993. 'Visualization of a document collection : The vibe system.' Information Processing and Management, 29(1) : 69-81 https://doi.org/10.1016/0306-4573(93)90024-8
  13. Porter, M.F. 1980. 'An algorithm for suffIx stripping.' Program, 14(3) : 130-137 https://doi.org/10.1108/eb046814
  14. Roussinov, D.G., and Chen, H. 1998. 'A Scalable Self-organizing Map Algorithm for Textual Classification : A Neural Network Approach to Thesaurus Generation.' CC-AI, The Journal for the Integrated Study of Artificial Intelligence, Cognitive Science and Applied Epistemology, 15(1) : 81-111
  15. Salton, G. 1989. Automatic Text Processing. Addison-Wesley Publishing Co., Reading, MA
  16. Smyth, B., Balfe, E., Freyne, J., Briggs, P., Coyle, M., and Boydell, O. 2004. 'Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine.' User Modeling and UserAdapted Interaction, 14(5) : 383-423 https://doi.org/10.1007/s11257-004-5270-4