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    Information navigation on the web by clustering and summarizing query results

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    Author
    Roussinov, Dmitri G.
    Chen, Hsinchun
    Issue Date
    2001
    Submitted date
    2004-09-14
    Keywords
    Internet
    World Wide Web
    Information Extraction
    Local subject classification
    National Science Digital Library
    NSDL
    Artificial intelligence lab
    AI lab
    Information retrieval
    
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    Citation
    Information navigation on the web by clustering and summarizing query results 2001, 37(6):789-816 Information Processing and Management
    Publisher
    Elsevier
    Journal
    Information Processing and Management
    Description
    Artificial Intelligence Lab, Department of MIS, University of Arizona
    URI
    http://hdl.handle.net/10150/106217
    Abstract
    We report our experience with a novel approach to interactive information seeking that is grounded in the idea of summarizing query results through automated document clustering. We went through a complete system development and evaluation cycle: designing the algorithms and interface for our prototype, implementing them and testing with human users. Our prototype acted as an intermediate layer between the user and a commercial Internet search engine (Alta Vista), thus allowing searches of the significant portion of the World Wide Web. In our final evaluation, we processed data from 36 users and concluded that our prototype improved search performance over using the same search engine (Alta Vista) directly. We also analyzed effects of various related demographic and task related parameters.
    Type
    Journal Article (Paginated)
    Language
    en
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