Email filtering using relationship and reputation data
A technology of e-mail messages and relationships, applied in the direction of electrical components, data processing applications, transmission systems, etc., can solve expensive and other problems
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[0016] Aspects of the techniques described herein generally relate to enhancing the classification of which emails are spam and which are not by using (where possible) the user's social connections to determine how aggressively spam filtering is, and thus How much CPU time to use in scanning email messages. In addition to taking less CPU time overall, this technique also reduces the chances of email being incorrectly marked as spam by not applying more aggressive filtering to emails that are considered likely to be good (i.e. not spam) by virtue of the relational data. quantity.
[0017] In one aspect, the technology exploits the history of users replying and forwarding emails to each other and uses this information to determine how aggressively email messages are being scanned for spam. The technology can also use the relationship between two users to infer a new relationship between one of those users and a third user as a new connection between the users is made. In one a...
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