Abstract
In the Web search process people often think that the hardest work is done by the search engines or by the directories which are entrusted with finding the Web pages. While this is partially true, a not less important part of the work is done by the user, who has to decide which page is relevant from the huge set of retrieved pages. In this paper we present a graphical visualisation tool aimed at helping users to determine the relevance of a Web page with respect to its structure. Such tool can help the user in the often tedious task of deciding which page is relevant enough to deserve a visit.
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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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Vegas, J., de la Fuente, P., Crestani, F. (2003). WebDocBall: A Graphical Visualization Tool for Web Search Results. In: Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2003. Lecture Notes in Computer Science, vol 2633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36618-0_25
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DOI: https://doi.org/10.1007/3-540-36618-0_25
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