CFP last date
20 December 2024
Reseach Article

Web Spam Detection using Timer with Ranking Technique

by Sajan Aggarwal, Rajender Singh Chhillar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 71 - Number 18
Year of Publication: 2013
Authors: Sajan Aggarwal, Rajender Singh Chhillar
10.5120/12585-9269

Sajan Aggarwal, Rajender Singh Chhillar . Web Spam Detection using Timer with Ranking Technique. International Journal of Computer Applications. 71, 18 ( June 2013), 17-20. DOI=10.5120/12585-9269

@article{ 10.5120/12585-9269,
author = { Sajan Aggarwal, Rajender Singh Chhillar },
title = { Web Spam Detection using Timer with Ranking Technique },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 71 },
number = { 18 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 17-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume71/number18/12585-9269/ },
doi = { 10.5120/12585-9269 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:35:56.515054+05:30
%A Sajan Aggarwal
%A Rajender Singh Chhillar
%T Web Spam Detection using Timer with Ranking Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 71
%N 18
%P 17-20
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today, Web Spam is a very serious problem for search engine and for the user. The word Web Spam is the combination of two words i. e. Web and Spam. The word web contains thousands of web pages which are used by various search engines to answer the query of the user and the word Spam means the unsolicited messages. The unsolicited message means the web pages are created with the intention of attracting high traffic for getting high score and for fun or for profit. There are various techniques available for detecting web pages such as content based technique, Link based technique, Title based technique etc. This paper purpose a new technique in which how much time a user stay on a particular page is noted and on the behalf of that time it is observed whether a page is spam or not.

References
  1. Alexandros Ntoulas, Marc Najork, Mark Manasse, Dennis Fetterly, "Detecting Spam Web Pages through Content Analysis", International World Wide Web Conference Committee
  2. .
  3. Carlos Castillo, Debora Donato, Luca Becchetti, Paolo Boldi, Stefano Leonardi, Massimo Santini, Sebastiano Vigna, "A Reference Collection for Web Spam".
  4. Arnon Rungsawang, Apichat Tawesiriwate, Bundit Manaskasemsak, "Spam Host Detection Using Ant Colony Optimization", Springer
  5. .
  6. Marc Najork, "Web Spam Detection",
  7. Yiqun Liu, Min Zhang, Shaoping Ma, Liyun Ru, "User Behavior Oriented Web Spam Detection", National Science Foundation and National 863 High Technology Project, China
  8. .
  9. Sumit Sahu, Bharti Dongre, Rajesh Vadhwani, "Web Spam Detection Using Different Features", International Journal of Soft Computing and Engineering [IJSCE],
  10. .
  11. Luca Becchetti, Carlos Castillo, Debora Donato, Stefano Leonardi, Ricardo Baeza-Yates," Link Based Characterization and Detection of Web Spam", AIRWEB, Washington
  12. .
  13. Andras Benczur, Istvan Biro, Karoly Csalogany, Tamas Sarlos, "Web Spam Detection via Commercial Intent Analysis", AIRWEB, Canada
  14. .
  15. Dengyong Zhou, Christopher J. C. Burges, Tao Tao, "Transductive link Spam Detection", AIRWEB, Canada
  16. .
  17. Carlos Castillo, Debora Donato, Aristides Gionis, Vanessa Murdock, Fabrizio Silvestri, "Know your Neighbors: Web Spam Detection using the Web Topology", SIGIR
  18. .
  19. Jyoti Pruthi, Dr. Ela Kumar, "Anti-Trust Rank:- Fighting Web Spam", International Journal of Computer Science Issues,(IJCSI)
  20. .
Index Terms

Computer Science
Information Sciences

Keywords

Web Spam Cloud