AN IMPROVED LINK-BASED METHOD FOR SPAM DETECTION IN PERSIAN WEB GRAPH

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

PAROOIE MARZIE; ZAREH BIDOKI ALI MOHAMMAD

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT) Year:2016 | Volume:5 | Issue:3 Page(s): 16-24

Download Full-Text

Persian Verion

View:

728

Download:

Cites:

Information Journal Paper

Title

AN IMPROVED LINK-BASED METHOD FOR SPAM DETECTION IN PERSIAN WEB GRAPH

Author(s)

PAROOIE MARZIE | ZAREH BIDOKI ALI MOHAMMAD | Issue Writer Certificate

Keywords

SEARCH ENGINEQ2

SPAMQ2

RANKINGQ1

Abstract

Today using the internet has spread wildly, and increasing number of web pages leads to importance of using SEARCH ENGINEs, therefore some people try to misguide SEARCH ENGINEs to have more customers and benefit. They increase the rank of their pages by some illegal ways. SEARCH ENGINEs to. Identify of this kind of web pages can improve SEARCH ENGINEs and attract confidence to user. According to importance of finding SPAM pages, the research is presented a new linke-based way to detect SPAM pages in Persian web graph. This way, first link farms detectes. Finally, the negative scores of SPAM pages propagate in whole of web graph. This way was implemented on data of Parsijoo SEARCH ENGINE and the result of data analyses indicates 21.2% improvement in p@n factor.

Cites

No record.

References

No record.

Cite

APA: Copy

PAROOIE, MARZIE, & ZAREH BIDOKI, ALI MOHAMMAD. (2016). AN IMPROVED LINK-BASED METHOD FOR SPAM DETECTION IN PERSIAN WEB GRAPH. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), 5(3 ), 16-24. SID. https://sid.ir/paper/245838/en

Vancouver: Copy

PAROOIE MARZIE, ZAREH BIDOKI ALI MOHAMMAD. AN IMPROVED LINK-BASED METHOD FOR SPAM DETECTION IN PERSIAN WEB GRAPH. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT)[Internet]. 2016;5(3 ):16-24. Available from: https://sid.ir/paper/245838/en

IEEE: Copy

MARZIE PAROOIE, and ALI MOHAMMAD ZAREH BIDOKI, “AN IMPROVED LINK-BASED METHOD FOR SPAM DETECTION IN PERSIAN WEB GRAPH,” JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), vol. 5, no. 3 , pp. 16–24, 2016, [Online]. Available: https://sid.ir/paper/245838/en

Related Journal Papers