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https://issues.apache.org/jira/browse/COMDEV-260?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kevin A. McGrail updated COMDEV-260:
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Summary: GSOC 2018 SpamAssassin Bayes Token ID (was: SpamAssassin Bayes
Token ID)
> GSOC 2018 SpamAssassin Bayes Token ID
> -------------------------------------
>
> Key: COMDEV-260
> URL: https://issues.apache.org/jira/browse/COMDEV-260
> Project: Community Development
> Issue Type: Project
> Reporter: Kevin A. McGrail
> Priority: Major
>
> From DFS idea used with permission:
> We tokenize inbound messages and store the tokens on the server. In each
> message, we add links for doing training. When you click on a training link,
> the system trains the message based on the tokens stored on the server. In
> that way, you are training using exactly the tokens that the Bayes code saw.
> For SA, the key point is a framework to store the Bayesian tokens from the
> email before delivery of the email so later, a "this is spam" "this is ham"
> mechanism can take advantage of that information without having the entire
> email.
> Adding a header with the message id for the storage of the headers allows a
> framework to be built for train as spam, train as ham to be more readily
> built.
> The issues you are pointing to have to deal more with the implementation of
> the this is spam/this is ham mechanism.
> By storing just the tokens, there is less space and privacy & legal concerns
> are mitigated.
> sa-learn would then be extended to use the message id and learn as spam/ham
> instead of feeding it the entire message.
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