From Computing Distribution of Email Responses for Each User Cluster To Construct User Preference based Anti-spam Mail System
نویسندگان
چکیده
منابع مشابه
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 prefe...
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Recent email spam filtering evaluations, such as those conducted at TREC, have shown that near-perfect filtering results are attained with a variety of machine learning methods when filters are given perfectly accurate labeling feedback for training. Yet in realworld settings, labeling feedback may be far from perfect. Real users give feedback that is often mistaken, inconsistent, or even malic...
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In this paper we propose a user based architecture for the email system, where the recipient of an email message manage its receipt in conjunction with both origin and destination email servers. Messages are kept to the origin email server until a confirmation from the recipient is issued though the destination email server. Therefore, spam email doesn’t travel the Internet and doesn’t overload...
متن کاملBoosting Trees for Anti-Spam Email Filtering
This paper describes a set of comparative experiments for the problem of automatically filtering unwanted electronic mail messages. Several variants of the AdaBoost algorithm with confidence– rated predictions (Schapire & Singer 99) have been applied, which differ in the complexity of the base learners considered. Two main conclusions can be drawn from our experiments: a) The boosting–based met...
متن کاملThe Effects of Anti-Spam Methods on Spam Mail
We provide a model to study the effects of three methods of fighting spam mail, namely (1) increasing the cost of mailing messages, (2) filters, and (3) a do-not-spam registry, on the number of spam messages that users receive, and on the efficiency of the internet (measured by the total number of spam messages spammers send).
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ژورنال
عنوان ژورنال: Journal of Korean Institute of Intelligent Systems
سال: 2009
ISSN: 1976-9172
DOI: 10.5391/jkiis.2009.19.3.343