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Rerank-by-Example: Efficient Browsing of Web Search Results

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4653))

Abstract

The conventional Web search has two problems. The first is that users’ search intentions are diverse. The second is that search engines return a huge number of search results which are not ordered correctly. These problems decrease the accuracy of Web searches. To solve these problems, in our past work, we proposed a reranking system based on the user’s search intentions whereby the user edits a part of the search results and the editing operations are propagated to all of the results to rerank them. In this paper, we propose methods of reranking Web search results that depend on the user’s delete and emphasis operations. Then, we describe their evaluation. In addition, we propose a method to support deletion and emphasis by using Tag-Clouds.

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References

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Roland Wagner Norman Revell Günther Pernul

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© 2007 Springer-Verlag Berlin Heidelberg

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Yamamoto, T., Nakamura, S., Tanaka, K. (2007). Rerank-by-Example: Efficient Browsing of Web Search Results. In: Wagner, R., Revell, N., Pernul, G. (eds) Database and Expert Systems Applications. DEXA 2007. Lecture Notes in Computer Science, vol 4653. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74469-6_78

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  • DOI: https://doi.org/10.1007/978-3-540-74469-6_78

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74467-2

  • Online ISBN: 978-3-540-74469-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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