Title : 
Future view: Web navigation based on learning user´s browsing patterns
         
        
            Author : 
Nagino, Norikatsu ; Yamada, Seiji
         
        
            Author_Institution : 
CISS, Tokyo Inst. of Technol., Yokohama, Japan
         
        
        
        
        
        
            Abstract : 
We propose a future view system that assists user´s usual Web browsing. The future view will prefetch Web pages based on user´s browsing strategies and present them to a user in order to assist Web browsing. To learn user´s browsing patterns, the future view uses two types of learning classifier systems: a content-based classifier system for contents change patterns and an action-based classifier system for user´s action patterns. The results of learning are applied to crawling by Web robot, and gathered Web pages are presented to a user through a Web browser. We experimentally show effectiveness of navigation using the future view.
         
        
            Keywords : 
Internet; information retrieval; online front-ends; pattern classification; Web browser; Web navigation; Web page prefetch; Web robot; action-based classifier system; content-based classifier system; future view system; users action pattern; users browsing pattern learning; Carbon capture and storage; Crawlers; History; Informatics; Navigation; Prefetching; Robots; User interfaces; Web pages; Web sites;
         
        
        
        
            Conference_Titel : 
Web Intelligence, 2003. WI 2003. Proceedings. IEEE/WIC International Conference on
         
        
            Print_ISBN : 
0-7695-1932-6
         
        
        
            DOI : 
10.1109/WI.2003.1241261