History: Machine Learning for Email

This page is to brainstorm and coordinate development for better handling email within Tiki using ((machine learning)). This is a great use case, and will serve as an example for integrating machine learning all over Tiki. The Machine Learning is with ((Rubix ML)) and the webmail is with ((Cypht integration|Cypht)). See also ((Email as a first-class citizen))

Below are some examples. Once we develop the code, they will be easily adaptable to your similar use cases with your data.

!! Classification use case
* Emails relevant to bookkeeping (invoices, statements, etc )
* Emails relevant to servers (server down, monthly uptime report)
* SPAM or irrelevant emails (Viagra, watch, loto). While mailbox has tools some always pass.
* Emails that can wait (news, magazines, etc. Nice to read but not essentials to productive work)
* Email that should be associated to a task, project or client
** As per ((Email as a first-class citizen)): "Instead of one gigantic mail store, we should have a number of smaller ones that make sense to one's workflow (ex.: around projects, tasks, clients, etc.) and that can easily be shared and prioritized."

!!! Potential workflow
# Look at all these folders to train data
** Past data
# When new mail arrives here, here and here
** If confidence level high, move to relevant folder
** If confidence level is not high, propose to user and learn from answers

!!! What we want to know
* Is this an email which requires action (ex.: a bill to pay or a server to tend to) or it's just information that can be analyzed one day if needed.

!! Inspiration
 [http://wikisuite.org/WikiSuite-vs-Nextcloud|NextCloud] uses ((Rubix ML)) as well:
* https://github.com/nextcloud/mail/blob/master/lib/Service/Classification/ImportanceClassifier.php
* https://nextcloud.com/blog/nextcloud-mail-introduces-machine-learning-for-priority-inbox/
* https://www.getinboxzero.com/ AI assistant for email
** See video for https://twitter.com/elie2222/status/1758106508955398374 and Cold Email Blocker: https://twitter.com/inboxzero_ai/status/1748154943494582574

!! Pablo Duboue
{youtube movie="L_5_pOpZI5Y"}
https://sourceforge.net/projects/listosoreader/ 

!! Related
* ((Machine Learning for SEO and SEM))
* ((Auto-Classification))
* ((Naive Bayes classifier))