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