	US 12,192,161 B2
	Email threading based on machine learning
Charles Yin-Che Lee, Mercer Island, WA (US); and Victor Poznanski, Sammamish, WA (US)
Assigned to Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on Feb. 15, 2024, as Appl. No. 18/442,970.
Application 18/442,970 is a continuation of application No. 17/845,806, filed on Jun. 21, 2022, granted, now 11,929,971.
Prior Publication US 2024/0187366 A1, Jun. 6, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 51/216 (2022.01); H04L 51/02 (2022.01); H04L 51/42 (2022.01)

CPC H04L 51/216 (2022.05) [H04L 51/02 (2013.01); H04L 51/42 (2022.05)]

20 Claims

1. A method comprising:

training a preference model using training data obtained from feedback received from a user;

accessing a plurality of emails addressed to a user;

classifying each email into at least one of a plurality of categories;

for a category of the plurality of categories, extracting one or more feature values from each email in the category;

based on the category and the extracted feature values, grouping emails having a same feature value in the category together into a single email thread;

based on the preference model, causing presentation of information related to the single email thread at a client device of the user;

receiving additional feedback based on one or more interactions with the single email thread; and

retraining the preference model based on the additional feedback.