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Disputed Sentence Suggestion towards Credibility-Oriented Web Search

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 7235)

Abstract

We propose a novel type of query suggestion to support credibility-oriented Web search. When users issue queries to search for Web pages, our system collects disputed sentences about queries from the Web. Then, the system measures how typical and relevant each of the collected disputed sentences are to the given queries. Finally, the system suggests some of the most typical and relevant disputed sentences to the users. Conventional query suggestion techniques focus only on making it easy for users to search for Web pages matching their intent. Therefore, when users search for Web pages to check the credibility of specific opinions or statements, queries suggested by conventional techniques are not always useful in searching for evidence for credibility judgments. In addition, if users are not careful about the credibility of information in the Web search process, it is difficult to be aware of the existence of suspicious Web information through conventional query suggestions. Our disputed sentence suggestion enhances users’ awareness of suspicious statements so that they can search for Web pages with careful attention to them.

Keywords

  • Query Expansion
  • Query Suggestion
  • Linguistic Pattern
  • Credibility Judgment
  • Atkins Diet

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Yamamoto, Y. (2012). Disputed Sentence Suggestion towards Credibility-Oriented Web Search. In: Sheng, Q.Z., Wang, G., Jensen, C.S., Xu, G. (eds) Web Technologies and Applications. APWeb 2012. Lecture Notes in Computer Science, vol 7235. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29253-8_4

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  • DOI: https://doi.org/10.1007/978-3-642-29253-8_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29252-1

  • Online ISBN: 978-3-642-29253-8

  • eBook Packages: Computer ScienceComputer Science (R0)