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  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
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  • P-ISSN1013-0799
  • E-ISSN2586-2073
  • KCI

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논문 투고

Vol.23 No.2

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사회적 네비게이션 기반 사회적 검색

Social Search in the Context of Social Navigation

정보관리학회지 / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2006, v.23 no.2, pp.147-165
https://doi.org/10.3743/KOSIM.2006.23.2.147
안재욱 (University of Pittsburgh)
Peter Brusilovsky (University of Pittsburgh)
Rosta Farzan (University of Pittsburgh)
안재욱, Peter Brusilovsky, & Rosta Farzan. (2006). 사회적 네비게이션 기반 사회적 검색. 정보관리학회지, 23(2), 147-165, https://doi.org/10.3743/KOSIM.2006.23.2.147

초록

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
social search, social navigation, personalization, adaptive systems, 사회적 검색, 사회적 네비게이션, 개인화, 적응 시스템

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.

keywords
social search, social navigation, personalization, adaptive systems, 사회적 검색, 사회적 네비게이션, 개인화, 적응 시스템

참고문헌

1.

Ahlberg. (b.1994). Tight coupling of dynamic query filters with starfield displays Human Factors in Computing Systems. ACM Press. , 313-317.

2.

Ahn. J. (2006). A Two-Level Adaptive Visualization for Information Access to Open-Corpus Educational Resources. , -.

3.

Brusilovsky, P. (2004). Social adaptive navigation support for open corpus electronic textbooks. , -.

4.

Brusilovsky, P. (2002). Using maps and landmarks for navigation between closed and open corpus hyperspace in Web-based education. 9, 59-82.

5.

Dieberger, A. (2000). Social Navigation: Techniques for Building More Usable Systems. 7(6), 36-45.

6.

Dron, J. (2001). Footpaths in the Stuff Swamp. In: Fowler. , 323-328.

7.

Freyne J. (2004). An Experiment in Social Search. , -.

8.

Heylighen F.. (1999). Collective Intelligence and its Implementation on the Web algorithm to develop a collective mental map. 5(3), 253-280.

9.

Kohonen, T.. (1997). Self-Organizing Maps.. , -.

10.

Lowrence, S. (1998). Context and Page Analysis for Improved Web Search. July-August, 38-46.

11.

Olsen. (r.r.1994). In Proceedings 1994 IEEE symposium on visual languages. , -.

12.

Olsen. (j.g.1993). Visualization of a document collection. , 69-81.

13.

Porter. (m.f.1980). An algorithm for suffix stripping. , 130-14 137.

14.

Roussinov, D.G. (1998). A Scalable Self-organizing Map Algorithm for Textual Classification: A Neural Network Approach to Thesaurus Generation. 15(1), 81-111.

15.

Salton. (ma.). G. 1989. Automatic Text Processing. Addison-Wesley Publishing Co.. , -.

16.

Smyth, B. (2004). Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine. 14(5), 383-423.

17.

Smyth, B. (2004). Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine. 14(5), 383-423.

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