NDLI: Combining content-based and context-based methods for Persian web page classification

Content Provider	IEEE Xplore Digital Library
Author	Farhoodi, M. Yari, A. Mahmoudi, M.
Copyright Year	2009
Description	Author affiliation: Iran Telecommunication Research Center, Iran (Farhoodi, M.; Yari, A.; Mahmoudi, M.)
Abstract	As the Internet includes millions of web pages for each and every search query, a fast retrieving of the desired and related information from the Web becomes very challenging subject. Automatic classification of web pages into relevant categories is an important and effective way to deal with the difficulty of retrieving information from the Internet. There are many automatic classification methods and algorithms that have been propose for contentbased or context-based features of web pages. In this paper we analyze these features and try to exploit a combination of features to improve categorization accuracy of Persian web page classification. We conduct various experiments on a dataset consisting of 352 pages belonging to Persian Wekipedia, using content-based and context-based web page features. Our experiments demonstrate the usefulness of combining these features.
Starting Page	399
Ending Page	404
File Size	295396
Page Count	6
File Format	PDF
ISBN	9781424444564
DOI	10.1109/ICADIWT.2009.5273915
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-04
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uniform resource locators Content based retrieval Buildings Web pages Humans Information retrieval Internet Classification algorithms Information management Web sites
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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