Analysis of blog spams and collborative blog spam filtering using adaptive percolation search블로그 스팸 분석과 적응적 스미기 검색을 이용한 블로그 스팸 협동 필터

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dc.contributor.advisorMoon, Sue-Bok-
dc.contributor.advisor문수복-
dc.contributor.authorHan, Seung-Yeop-
dc.contributor.author한승엽-
dc.date.accessioned2011-12-13T06:06:52Z-
dc.date.available2011-12-13T06:06:52Z-
dc.date.issued2007-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=265063&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/34782-
dc.description학위논문(석사) - 한국과학기술원 : 전산학전공, 2007.2, [ vi, 22 p. ]-
dc.description.abstractWe provide basic analysis on blog spams, which little is known about before. Then, we propose a novel collaborative filtering method for link spams on blogs. The key idea is to rely on manual identification of spams and share this information about spams through a network of trust. The blogger who has identified a spam tells a small number of fellow bloggers (content implantation), and those who have not heard about it start a search using an adaptive percolation search, combined with content implantation, they contract the information about identified spam in only a fraction of the query period time without producing large volume of traffic.eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectBlog Spams P2P Search Collaborative Filter Measurement-
dc.subject블로그 스팸 P2P 검색 협동 필터 측정-
dc.titleAnalysis of blog spams and collborative blog spam filtering using adaptive percolation search-
dc.title.alternative블로그 스팸 분석과 적응적 스미기 검색을 이용한 블로그 스팸 협동 필터-
dc.typeThesis(Master)-
dc.identifier.CNRN265063/325007 -
dc.description.department한국과학기술원 : 전산학전공, -
dc.identifier.uid020053633-
dc.contributor.localauthorMoon, Sue-Bok-
dc.contributor.localauthor문수복-
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CS-Theses_Master(석사논문)
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