Abstract
Searching for information on the Web has attracted great attention in many research communities. Results returned by most Chinese web search engines usually reach up to thousands or even millions of documents, so efficient interfaces for search and navigation are of critical need. In this paper, we proposed an interactive search results clustering system to facilitate browsing Chinese web pages in a more compact and thematic form. Users can select the clusters that best match the implicit meanings of their queries and personalize on-the-fly those search results. Our experiments show that this highly efficient approach outperforms the traditional Chinese search engines.
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Liu, W., Xue, GR., Huang, S., Yu, Y. (2005). Interactive Chinese Search Results Clustering for Personalization. In: Fan, W., Wu, Z., Yang, J. (eds) Advances in Web-Age Information Management. WAIM 2005. Lecture Notes in Computer Science, vol 3739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11563952_63
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DOI: https://doi.org/10.1007/11563952_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29227-2
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