home › resources & publications › mining longest repeated subsequences to predict world wide web surfing

TECHNICAL PUBLICATIONS:

Share by email

Mining longest repeated subsequences to predict World Wide Web surfing

  • Second USENIX Symposium on Internet Technologies and Systems
 
 
citation

Pitkow, J. E. ; Pirolli, P. L. Mining longest repeated subsequences to predict World Wide Web surfing. Second USENIX Symposium on Internet Technologies and Systems; 1999 October 11-14; Boulder, CO.

PARC author

Peter Pirolli

 

subscribe

enter email to choose newsletters: 


subscribe to blog feed