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2007
Springer

Constructing a User Preference Ontology for Anti-spam Mail Systems

9 years 10 months ago
Constructing a User Preference Ontology for Anti-spam Mail Systems
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. We build a user preference ontology to formally represent the important concepts and rules derived from a data mining process. Then we use an inference engine that utilizes the knowledge to predict the user’s action on new incoming emails. We also suggest a new rule optimization procedure inspired from logic synthesis to improve comprehensibility and exclude redundant rules. Experimental results showed that our user preference based architecture achieved good performance and the rules derived from the architecture and the optimization method have better quality in terms of comprehensibility.
Jongwan Kim, Dejing Dou, Haishan Liu, Donghwi Kwak
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where AI
Authors Jongwan Kim, Dejing Dou, Haishan Liu, Donghwi Kwak
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