Paper Info
Title
Dynamic mining for web navigation patterns based on markov model
Abstract
Web user patterns can be used to create a more robust web information service in personalization. But the user interests are changeable, that is, they differ from one user to another, and they are constantly changing for a specific user. This paper presents a dynamic mining approach based on Markov model to solve this problem. Markov model is introduced to keep track of the changes of user interest according to his or her navigational behaviors. Some new concepts in the model are defined. An algorithm based on the model is then designed to learn the user's favorite navigation paths. The approach is implemented in an example website, and the experimental results proved the effective of our approach.
Year
DOI
Venue
2004
10.1007/978-3-540-30497-5_125
CIS
Keywords
Field
DocType
markov model,specific user,favorite navigation path,example website,web navigation pattern,navigational behavior,user interest,robust web information service,web user pattern,dynamic mining approach,web navigation
Computer science,Human–computer interaction,Artificial intelligence,User modeling,Personalization,The Internet,World Wide Web,Markov model,Turn-by-turn navigation,Web navigation,Web service,Web information,Machine learning
Conference
Volume
ISSN
ISBN
3314
0302-9743
3-540-24127-2
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
Jiu Jun Chen121.85
Ji Gao2509.03
Jun Hu3113.08
Bei Shui Liao421.51