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Internet Browsing and Searching: User Evaluation of Category Map and Concept Space Techniques

Chen, Hsinchun and Houston, Andrea L. and Sewell, Robin R. and Schatz, Bruce R. (1998) Internet Browsing and Searching: User Evaluation of Category Map and Concept Space Techniques. Journal of the American Society for Information Science, Special Issue on AI Techniques for Emerging Information Systems Applications 49(7):pp. 582-603.

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Abstract

Research was focused on discovering whether two of the algorithms the research group has developed can help improve browsing and/or searching the Internet. Results indicate that a Kohonen self-organizing map (SOM)-based algorithm can successfully categorize a large and eclectic Internet information space into managable sub-spaces that users can successfully navigate to locate a homepage of interest to them.

EPrint Type:Journal Article (Paginated)
Keywords:National Science Digital Library, NSDL, Artificial Intelligence Lab, AI Lab, SOM
Subjects:Internet
Information Seeking Behaviors
ID Code:488
Deposited On:20 September 2004
Alternative Locations:http://ai.bpa.arizona.edu/go/papers.html
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