Paper Info
Title
Construction of Ontology-Based User Model for Web Personalization
Abstract
Personalized Web browsing and search hope to provide Web information that matches a user's personal interests. A key feature in developing successful personalized Web applications is to build user model that accurately represents a user's interests. This paper deals with the problem of modeling Web users by means of personal ontology. A Web log preparation system discovering user's semantic navigation sessions is presented first. Such semantic sessions could be used as the input of constructing ontology-based user model. Our construction of user model is based on a semantic representation of the user activity. We build the user model without user interaction, automatically monitoring the user's browsing habits, constructing the user ontology from semantic sessions. Each semantic session updates the user model in such a way that the conceptual behavior history of the user is recorded in user ontology. After building the initial model from visited Web pages, techniques are investigated to estimate model convergence. In particular, the overall performance of our ontology-based user model is also presented and favorably compared to other model using a flat, unstructured list of topics in the experimental systems.
Year
DOI
Venue
2007
10.1007/978-3-540-73078-1_10
User Modeling
Keywords
DocType
Volume
web personalization,personalized web browsing,ontology-based user model,web user,user activity,user ontology,semantic session,user interaction,user model,model convergence,initial model,web pages,web browsing
Conference
4511
ISSN
Citations 
PageRank 
0302-9743
14
0.79
References 
Authors
15
3
Name
Order
Citations
PageRank
Hui Zhang13412.87
Yu Song2141.13
Han-Tao Song3406.18