How people revisit web pages: empirical findings and implications for the design of history systems
International Journal of Human-Computer Studies - Special issue: World Wide Web usability
"Common" web paths in a group adaptive system
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
Smartback: supporting users in back navigation
Proceedings of the 13th international conference on World Wide Web
The Effect of Trails on First-time and Subsequent Navigation in a Virtual Environment
VR '05 Proceedings of the 2005 IEEE Conference 2005 on Virtual Reality
Generating trails automatically, to aid navigation when you revisit an environment
Presence: Teleoperators and Virtual Environments
A web page usage prediction scheme using sequence indexing and clustering techniques
Data & Knowledge Engineering
A web-page usage prediction scheme using weighted suffix trees
SPIRE'07 Proceedings of the 14th international conference on String processing and information retrieval
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A method of using string-matching to analyze hypertext navigation was developed, and evaluated using two weeks of website logfile data. The method is divided into phases that use: (i) exact string-matching to calculate subsequences of links that were repeated in different navigation sessions (common trails through the website), and then (ii) inexact matching to find other similar sessions (a community of users with a similar interest). The evaluation showed how subsequences could be used to understand the information pathways users chose to follow within a website, and that exact and inexact matching provided complementary ways of identifying information that may have been of interest to a whole community of users, but which was only found by a minority. This illustrates how string-matching could be used to improve the structure of hypertext collections.