Network Security White Papers
Constructing a User Preference Ontology for Anti-Spam Mail Systems
Overview The judgment that whether an email is spam or non-spam may vary from person to person. Different individuals can have totally different responses to the same email based on their preferences. This paper presents an innovative approach that incorporates user preferences to construct an anti-spam mail system, which is different from the conventional content-based approaches. They build user preference ontology to formally represent the important concepts and rules derived from a data mining process. Then they use an inference engine that utilizes the knowledge to predict the user's action on new incoming emails. They also suggest a new rule optimization procedure inspired from logic synthesis to improve comprehensibility and exclude redundant rules.
| Publisher | Springer Science+Business Media | File Format | |
|---|---|---|---|
| Date Published | January 2007 | ||
| Format | White Papers | ||
| Topics | |||
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