BIB-VERSION:: CS-TR-v2.0
          ID:: STAN//CS-TN-97-42
       ENTRY:: February 03, 1997
ORGANIZATION:: Stanford University, Department of Computer Science
       TITLE:: From User Access Patterns to Dynamic Hypertext Linking
        TYPE:: Technical Note
      AUTHOR:: Yan, Tak Woon
      AUTHOR:: Jacobsen, Matthew
      AUTHOR:: Garcia-Molina, Hector
      AUTHOR:: Dayal, Umeshwar
        DATE:: February 1997
       PAGES:: 11
    ABSTRACT:: This paper describes an approach for automatically
               classifying visitors of a web site according to their access
               patterns. User access logs are examined to discover clusters
               of users that exhibit similar information needs; e.g., users
               that access similar pages. This may result in a better
               understanding of how users visit the site, and lead to an
               improved organization of the hypertext documents for
               navigational convenience. More interestingly, based on what
               categories an individual user falls into, we can dynamically
               suggest links for him to navigate. In this paper, we describe
               the overall design of a system that implements these ideas,
               and elaborate on the preprocessing, clustering, and dynamic
               link suggestion tasks. We present some experimental results
               generated by analyzing the access log of a web site.
       NOTES:: [Adminitrivia V1/Prg/19970203]
         END:: STAN//CS-TN-97-42