Abstract
The paper addresses the problem of clustering text documents coming from the Web. We apply clustering to support users in interactive browsing through hierarchically organized search results as opposed to the standard ranked-list presentation. We propose a clustering method that is tailored to on-line processing of Web documents and takes into account the time aspect, the particular requirements of clustering texts, and readability of the produced hierarchy. Finally, we present the user interface of an actual system in which the method is applied to the results of a popular search engine.
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Masłowska, I. (2003). Phrase-Based Hierarchical Clustering of 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_42
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DOI: https://doi.org/10.1007/3-540-36618-0_42
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-01274-0
Online ISBN: 978-3-540-36618-8
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