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Query Transformation by Visualizing and Utilizing Information about What Users Are or Are Not Searching

  • Conference paper
Digital Libraries: Universal and Ubiquitous Access to Information (ICADL 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5362))

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Abstract

The usage of search engines to obtain necessary information from the WWW has become popular. It is hard for users to make proper queries when they want to retrieve ambiguous information or topics that they are not familiar with. In this paper, we propose a system that helps users to retrieve information by visualizing efficient keywords. The system extracts important terms from search results and plots them on a two-dimensional graph, and the user can look down upon the tendency of search results. The system enables the user to re-rank and re-search search results dynamically by moving terms displayed on the graph. In addition, we attempt to extend the searching area by presenting complementary information related to the query. We verified the usefulness of our method by applying it to a web page search and a digital library.

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© 2008 Springer-Verlag Berlin Heidelberg

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Yoshida, T., Nakamura, S., Oyama, S., Tanaka, K. (2008). Query Transformation by Visualizing and Utilizing Information about What Users Are or Are Not Searching. In: Buchanan, G., Masoodian, M., Cunningham, S.J. (eds) Digital Libraries: Universal and Ubiquitous Access to Information. ICADL 2008. Lecture Notes in Computer Science, vol 5362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89533-6_13

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  • DOI: https://doi.org/10.1007/978-3-540-89533-6_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89532-9

  • Online ISBN: 978-3-540-89533-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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