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An Influence Value Algorithm based on Social Network in Knowledge Retrieval Service

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(10), pp.43-53
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

최창현 1 GunWoo Park 1 이상훈 1

1국방대학교

Accredited

ABSTRACT

Knowledge retrieval service that uses collective intelligence which has special quality of open structure and can share the accumulative data is gaining popularity. However, acquiring the right needs for users from massive public knowledge is getting harder. Recently, search results from Google which is known for it's exquisite algorism, shows results for collective intelligence such as Wikipedia, Yahoo Q/A at the highest rank. Objective of this paper is to show that most answers come from human and to find the most influential people in on-line knowledge retrieval service. Hereupon, this paper suggest the influence value calculation algorism by analyzing user relation as centrality which social network is based on user activeness and reliance in Naver 지식iN. The influence value calculated by the suggested algorism will be an important index in distinguishing reliable and the right user for the question by ranking users with troubleshooting solutions in the knowledge retrieval service. This will contribute in search satisfaction by acquiring the right information and knowledge for the users which is the most important objective for knowledge retrieval service.

Citation status

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