Content trust based trustworthy news search engine

  • Xiaojun Wang*
  • , Guosun Zeng
  • , Wei Wang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Search engine is an essential tool for information retrieval in internet. However, key-match based full-text search engine always returns masses of results, most of which called "spam pages" trouble the user to precisely and speedily find the needed information. In this paper, we take content trust semantic into internet information retrieval, using the trust evaluation technique based on trust-facts to compute the trust-degree of web page. We then sort the web pages in ascending order according to trust-degree, and make the search results be more correlative and credible. Finally, integrating the key algorithms we devise, we design a prototype system of Trustworthy News Search Engine, and analyze the system with some examples.

Original languageEnglish
Title of host publicationProceedings - 2008 International Seminar on Future Information Technology and Management Engineering, FITME 2008
Pages144-147
Number of pages4
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 International Seminar on Future Information Technology and Management Engineering, FITME 2008 - Leicestershire, United Kingdom
Duration: 20 Nov 200820 Nov 2008

Publication series

NameProceedings - 2008 International Seminar on Future Information Technology and Management Engineering, FITME 2008

Conference

Conference2008 International Seminar on Future Information Technology and Management Engineering, FITME 2008
Country/TerritoryUnited Kingdom
CityLeicestershire
Period20/11/0820/11/08

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