Personalized web page filtering method
Date
2007
Authors
Hu, Weiming
Zhu, Mingliang
Li, Xi
Wu, Ou
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Patent
Citation
Statement of Responsibility
Invented by W. Hu, M. Zhu, X. Li, O. Wu; Assigned to Institute of Automation, Chinese Academy of Sciences; Liang Airong agent for inventors.
Conference Name
Abstract
The invention relates to a web page filtering method which can be individually customized, which comprises steps: extracting the characteristics of a user example web page and a training web page base, excavating the attribute of a user interest class based on semi-supervised learning, conducting the characteristic extraction of the user interest class and the characteristic selection, and filtering the personalized web pages based on a Bayesian classifier. The invention provides a novel web page filtering frame driven by examples, the filtering demands of the users can be expressed through web page examples, the user examples can be any type web pages or multi-type composite web pages, and a web page filter in line with the individual demands of the user can be constructed by means of the semi-supervised learning, thereby overcoming the disadvantages of the limitation to single filtering or limited type web page, and unavailable realization of individual customization in a traditional web page filtering method. The method has the advantages of high accuracy, robustness and operation speed, and has excellent application prospects.
School/Discipline
School of Computer Science
Dissertation Note
Provenance
Description
PATENT: W. Hu, M. Zhu, X. Li, O. Wu (Assignee: Institute of Automation, Chinese Academy of Sciences). CN 200710304224 filed Dec. 26, 2007; published Jul. 1, 2009.
Registered under alternate title: A customizable webpage filtering method
Registered under alternate title: A customizable webpage filtering method