Extracting user preference from Web browsing behaviour for spam filtering

Authors:
Taiki Takashita;Tsuyoshi Itokawa;Teruaki Kitasuka;Masayoshi Aritsugi
Affiliations:
Department of Computer Science and Communication Engineering, Graduate School of Science and Technology, Kumamoto University, Kumamoto 860-8555, Japan.;Department of Computer Science and Communication Engineering, Graduate School of Science and Technology, Kumamoto University, Kumamoto 860-8555, Japan.;Department of Computer Science and Communication Engineering, Graduate School of Science and Technology, Kumamoto University, Kumamoto 860-8555, Japan.;Department of Computer Science and Communication Engineering, Graduate School of Science and Technology, Kumamoto University, Kumamoto 860-8555, Japan
Venue:
International Journal of Advanced Intelligence Paradigms
Year:
2008

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Abstract

We focus on user behaviour that most e-mail users browse the web. In this paper, we attempt to exploit user preference extracted from the behaviour in a spam filtering method. The method reduces troublesome maintenance of the filter, since it keeps track of user preference as ham words in background. The ham words are used to determine whether a received e-mail is a ham or not. The method can detect some spams which are hard to classify correctly by existing Bayesian filters. We show that a combination of a Bayesian filter and our method reduces the number of false negatives.