Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
Annapurna Pawar Pankaj Waghralkar
Abstract
A Web Personalization System Provides Most Relevant Pages To User According To The User Interest Domain. The System Obtains The Knowledge User Interest Domain By Analyzing The User Browsing History. The Browsing History Is Obtained By Accessing The W
Keywords
Frequently Accessed Patterens
DOM
Clustering
Page Ranking.
Paper ID
IJSARTV2I128145
Publication Date
December 23, 2016
Research Area
ME(SE)