NDLI: Sub-Component Optimization for Web-Dist Measurement

Content Provider	IEEE Xplore Digital Library
Author	Zhang, Q.P. Lai, L.L.
Copyright Year	2006
Description	Author affiliation: Energy Syst. Group, City Univ., London (Zhang, Q.P.; Lai, L.L.)
Abstract	In recent years, machine learning techniques are taken into account in more and more Web-based systems in order to design intelligent mechanisms for organizing, indexing, and retrieving Web content, and it is necessary for researches and applications to calculate persuasive distance of Web pages. General methodologies are fit for extracting the differences between HTML documents of Web pages; however, it cannot be used to tell the actual distance, between the content of Web pages and the facade displayed in Internet explorers. Previously, content distance, style distance, and hybrid distance have been proposed to make measurement result more practical. In this paper, in order to make more effective description on Web-dist functions, a sub-component based optimization methodology is proposed, and the efficiency is proved through some practical applications
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	4069
Ending Page	4074
File Size	239275
Page Count	6
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258863
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web pages HTML Internet Machine learning Web mining Multimedia databases Markup languages Distance measurement Learning systems Organizing web page optimization distance function
Content Type	Text
Resource Type	Article

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