JOURNAL ARTICLE

Evaluating Arabic spam classifiers using link analysis

Abstract

The rank of pages within the search engine results page (SERP) is important especially for commercial sites. It is also important for those establishments which try to be at the top 10 of SERP to gain more visitors. To be within the top 10 results of SERP means also being visible to a larger number of audiences. On the other hand, gaining a lower rank means being less visible and eventually gaining less revenues relative to competitive pages which are ranked higher. Therefore the Web has a number of pages which adopt spamming techniques to deceive search engines and gains a higher rank than what they really deserve. Link-based technique is one of the techniques used to achieve this goal. This study aims to detect the link-based spamming techniques used within Arabic spam Web pages. The conducted tests reveal that link-based spamming technique is used significantly within Arabic spammed Web pages.

Keywords:
Spamming Computer science Spamdexing Information retrieval Arabic Rank (graph theory) Search engine Web page World Wide Web Revenue Link analysis Web search engine The Internet Web search query Mathematics Business

Metrics

10
Cited By
3.80
FWCI (Field Weighted Citation Impact)
14
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Spam and Phishing Detection
Physical Sciences →  Computer Science →  Information Systems
Text and Document Classification Technologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Sentiment Analysis and Opinion Mining
Physical Sciences →  Computer Science →  Artificial Intelligence

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