Sciweavers

Share
WIDM
2004
ACM

Web personalization based on static information and dynamic user behavior

9 years 25 days ago
Web personalization based on static information and dynamic user behavior
The explosive growth of the web is at the basis of the great interest into web usage mining techniques in both commercial and research areas. In this paper, a web personalization strategy based on pattern recognition techniques is presented. This strategy takes into account both static information, by means of classical clustering algorithms, and dynamic behavior of a user, proposing a novel and effective re-classification algorithm. Experiments have been carried out in order to validate our approach and evaluate the proposed algorithm. Categories and Subject Descriptors H.2.8 [Database Management]: Database Applications— Data mining; I.5.3 [Pattern Recognition]: Clustering— Algorithms General Terms Algorithms, Experimentation Keywords Clustering, web personalization, web usage mining
Massimiliano Albanese, Antonio Picariello, Carlo S
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where WIDM
Authors Massimiliano Albanese, Antonio Picariello, Carlo Sansone, Lucio Sansone
Comments (0)
books