Graymail (email)

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Graymail is solicited bulk email messages that don't fit the definition of email spam (e.g., the recipient "opted into" receiving them). Recipient interest in this type of mailing tends to diminish over time, increasing the likelihood that recipients will report graymail as spam. In some cases, graymail can account for up to 82 percent of the average user's email inbox. [1] Graymail was described in 2007 [2] and 2008 [3] by researchers at Microsoft Research looking to improve spam filtering as “messages that could reasonably be considered either spam or good (by different email users)” hence the name “graymail” was chosen to signify the subjective nature of the classification. A 2008 paper presented at the Fifth annual Conference on Email and Anti-Spam (CEAS) describes graymail as "messages (such as email newsletters) that some users value and others prefer to block". [4] In 2011 a report by The Radicati Group referred to graymail as "newsletters or notifications that a user may have signed up for at one time but no longer wants to receive". [5]

Contents

Traits

Graymail differs from spam and can be identified by one or more of the following traits:

In addition there is often a timeliness component to graymail whereby the utility of the message expires or becomes out of date after a period of time. Shopping deals are a good example: they’re only valid for a fixed number of hours or days but are frequently not read or opened by the recipient until after the offer has expired.

See also

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References

  1. ↑ "Hotmail declares war on graymail". 23 December 2011. Archived from the original on 23 December 2011. Retrieved 9 August 2018.
  2. ↑ Yih, Scott Wen-tau; McCann, Robert; Kolcz, Aleksander (2 August 2007). "Improving Spam Filtering by Detecting Gray Mail". Microsoft Research. Retrieved 9 August 2018– via research.microsoft.com.
  3. ↑ Chang, Ming-Wei; Yih, Scott Wen-tau; McCann, Robert (21 August 2008). "Personalized Spam Filtering for Gray Mail". Microsoft Research. Retrieved 9 August 2018– via research.microsoft.com.
  4. ↑ "Filtering Email Spam in the Presence of Noisy User Feedback" (PDF). Retrieved 9 August 2018.
  5. ↑ "Email Statistics Report, 2011-2015". www.radicati.com. The Radicati Group, Inc. Retrieved 9 August 2018.
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