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OLAWSDS: An Online Arabic Web Spam Detection System
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BibTeX
@MISC{Al-kabi_olawsds:an,
author = {Mohammed N. Al-kabi and Heider A. Wahsheh and Izzat M. Alsmadi},
title = {OLAWSDS: An Online Arabic Web Spam Detection System},
year = {}
}
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Abstract
Abstract—For marketing purposes, Some Websites designers and administrators use illegal Search Engine Optimization (SEO) techniques to optimize the ranking of their Web pages and mislead the search engines. Some Arabic Web pages use both content and link features, to increase artificially the rank of their Web pages in the Search Engine Results Pages (SERPs). This study represents an enhancement to previous work in this field. It includes the design and implementation of an online Arabic Web spam detection system, based on algorithms and mathematical foundations, which can detect the Arabic content and link web spam depending on the tree of the spam detection conditions, beside depending on the user’s feedback through a custom Web browser. The users can participate in making the decision about any Web page, through their feedbacks, so they judge if the Arabic Web pages in the browser are relevant for
Keyphrases
web page arabic web page marketing purpose search engine result page mathematical foundation online arabic web arabic content spam detection condition user feedback detection system previous work custom web browser link feature search engine link web spam website designer illegal search engine optimization
