Preventing Spam Blogs Using Content Analysis and User Behaviour Model

Mohammad Hafiz, Ismail (2007) Preventing Spam Blogs Using Content Analysis and User Behaviour Model. Masters thesis, Universiti Utara Malaysia.

	PDF mohammad_hafiz.pdf Restricted to Registered users only Download (7MB)
Preview	PDF mohammad_hafiz.pdf Download (1MB) | Preview

Abstract

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.

Actions (login required)

View Item