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

Description

Artificial Intelligence Lab, Department of MIS, University of Arizona / 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.

Links & Downloads

1. Internet Browsing and Searching: User Evaluation of Category Map and Concept Space Techniques 1998, 49(7):582-603 Journal of the American Society for Information Science, Special Issue on AI Techniques for Emerging Information Systems Applications
2. http://hdl.handle.net/10150/105118
3. Journal of the American Society for Information Science, Special Issue on AI Techniques for Emerging Information Systems Applications

Tags

Internet

Information Seeking Behaviors

Additional Fields

Identifer	oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/105118
Date	January 1998
Creators	Chen, Hsinchun, Houston, Andrea L., Sewell, Robin R., Schatz, Bruce R.
Publisher	Wiley Periodicals, Inc
Source Sets	University of Arizona
Language	English
Detected Language	English
Type	Journal Article (Paginated)