Saraswathi, D and Krishnakumar, A (2019) Effective Search Engine Spam Classification. International Journal of Recent Technology and Engineering, 28 (2S8). pp. 1541-1545. ISSN 2277-3878

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Abstract

Search engine spam is formed by the spam creators for commercial gain. Spammers applied different strategies in web pages to display the first page of web search results. These strategies may avoid displaying good quality web pages in the top of search engine results page. Nowadays there are numerous devised algorithms available to identify search engine spam. Even though search engines are still affected by search engine spam. There is a necessity for search engine industry to filter search engine spam in the best way. The proposed study identifies spam in web search engine. Spammers try to use most popular search keywords, popular links and advertising keywords in web pages. This strategy helps to increase ranking to display the top of search results. The proposed method is used important features to detect spam pages which are classified using decision tree C4.5 classifier. This method produces better performance when compared with existing classification methods.

Item Type: Article
Uncontrolled Keywords: Search engine spam, Classification, Spamdexing, Decision Tree, popular search keywords, popular links, and advertising words.
Divisions: PSG College of Arts and Science > Department of Computer Science
Depositing User: Mr Team Mosys
Date Deposited: 12 Jul 2022 08:10
Last Modified: 12 Jul 2022 08:10
URI: http://ir.psgcas.ac.in/id/eprint/1302

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