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Construction of Ontology-Based User Model for Web Personalization

  • Hui Zhang
  • Yu Song
  • Han-tao Song
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4511)

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.

Keywords

User Model Domain Ontology User Interest Good Topic Recommendation Accuracy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Hui Zhang
    • 1
  • Yu Song
    • 2
  • Han-tao Song
    • 1
  1. 1.Department of Computer Science and Engineering, Beijing Institute of Technology 100081, BeijingChina
  2. 2.Asia Technology Development Center, 100027, BeijingChina

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