Preventing Spam Blogs Using Content Analysis and User Behaviour Model

Preventing Spam Blogs Using Content Analysis and User Behaviour Model

Spam blog is a subset of blog which contains nothing more than stolen materials and inauthentic text designed to gain profit from various type of advertisements. Splogs have become a nuisance in the blogosphere because it pollutes search engine results and blog update servers. This paper discusses t...

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Main Author: Mohammad Hafiz, Ismail
Format: Thesis
Language:eng
eng
Published: 2007
Subjects:
TK Electrical engineering
Electronics Nuclear engineering
Online Access:https://etd.uum.edu.my/21/1/mohammad_hafiz.pdf
https://etd.uum.edu.my/21/2/mohammad_hafiz.pdf
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id my-uum-etd.21
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Mohammad Hafiz, Ismail
Preventing Spam Blogs Using Content Analysis and User Behaviour Model
description Spam blog is a subset of blog which contains nothing more than stolen materials and inauthentic text designed to gain profit from various type of advertisements. Splogs have become a nuisance in the blogosphere because it pollutes search engine results and blog update servers. This paper discusses the similarity between spam blogs and email spams and the techniques used to identify them. The paper also propose the development of a prototype blog update server that implements content analysis and user behaviour model to filter splogs before they are indexed into blog search engine.
format Thesis
qualification_name masters
qualification_level Master's degree
author Mohammad Hafiz, Ismail
author_facet Mohammad Hafiz, Ismail
author_sort Mohammad Hafiz, Ismail
title Preventing Spam Blogs Using Content Analysis and User Behaviour Model
title_short Preventing Spam Blogs Using Content Analysis and User Behaviour Model
title_full Preventing Spam Blogs Using Content Analysis and User Behaviour Model
title_fullStr Preventing Spam Blogs Using Content Analysis and User Behaviour Model
title_full_unstemmed Preventing Spam Blogs Using Content Analysis and User Behaviour Model
title_sort preventing spam blogs using content analysis and user behaviour model
granting_institution Universiti Utara Malaysia
granting_department College of Arts and Sciences (CAS)
publishDate 2007
url https://etd.uum.edu.my/21/1/mohammad_hafiz.pdf
https://etd.uum.edu.my/21/2/mohammad_hafiz.pdf
_version_ 1747826828059344896
spelling my-uum-etd.212013-07-24T12:05:19Z Preventing Spam Blogs Using Content Analysis and User Behaviour Model 2007-12 Mohammad Hafiz, Ismail College of Arts and Sciences (CAS) Faculty of Information Technology TK Electrical engineering. Electronics Nuclear engineering Spam blog is a subset of blog which contains nothing more than stolen materials and inauthentic text designed to gain profit from various type of advertisements. Splogs have become a nuisance in the blogosphere because it pollutes search engine results and blog update servers. This paper discusses the similarity between spam blogs and email spams and the techniques used to identify them. The paper also propose the development of a prototype blog update server that implements content analysis and user behaviour model to filter splogs before they are indexed into blog search engine. 2007-12 Thesis https://etd.uum.edu.my/21/ https://etd.uum.edu.my/21/1/mohammad_hafiz.pdf application/pdf eng validuser https://etd.uum.edu.my/21/2/mohammad_hafiz.pdf application/pdf eng public masters masters Universiti Utara Malaysia Bayes, T. (1763). An Essay Towards Solving n Problem in the Doctrine of Chances. Reprinted in: Bayesian Statistics: Principles,Models, and Applications. Blood, R. (2004). How blogging software reshapes the online community. Communications of the ACM Volume 47 (12), 53-55 Fetterly, D., Manasse, M ., Najork, M. (2004). Spam, Damn Spam, and Statistics: Using statistical analysis to locate spam web pages. ACM International Conference Proceeding Series; Vol. 67, Proceedings of the 7th International Workshop on the Web and Databases. Fuchun, P., Dale, S., Shaojun, W. 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