Improve importance classification based on deleted messages
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- Dominant language
- JavaScript
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Description
Is your feature request related to a problem? Please describe.
As a user with a busy inbox I might delete (automated) emails of one particular sender very often. If, by chance, the sender matches the characteristics of another sender that has lots of important emails, the Mail app will also mark these less important messages as important. This is because once a message has been deleted, Mail is unable to learn from it.
Describe the solution you'd like
No specific ideas yet. We might have to collect (meta) data about deleted messages of senders or similar. Then we let this data flow into the classifier training to steer the results into a more reasonable direction.
Describe alternatives you've considered
N/a
Additional context
No response
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or implementation entry points. Start by locating the importance classifier and the handling of deleted messages, then determine how deleted-message data could be incorporated into training and how improved classification would be evaluated.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100