View source for 18335921. MACHINE LEARNING COLLABORATION TECHNIQUES (Adobe Inc.)

=MACHINE LEARNING COLLABORATION TECHNIQUES=


==Organization Name==

[[:Category:Adobe Inc.|Adobe Inc.]]


[[Category:Adobe Inc.]]

==Inventor(s)==

[[:Category:Robert W. Burke, Jr. of Georgetown TX (US)|Robert W. Burke, Jr. of Georgetown TX (US)]][[Category:Robert W. Burke, Jr. of Georgetown TX (US)]]

[[:Category:Ronald Oribio of Austin TX (US)|Ronald Oribio of Austin TX (US)]][[Category:Ronald Oribio of Austin TX (US)]]

[[:Category:Michele Saad of Austin TX (US)|Michele Saad of Austin TX (US)]][[Category:Michele Saad of Austin TX (US)]]

[[:Category:Irgelkha Mejia of Round Rock TX (US)|Irgelkha Mejia of Round Rock TX (US)]][[Category:Irgelkha Mejia of Round Rock TX (US)]]

==MACHINE LEARNING COLLABORATION TECHNIQUES==


This abstract first appeared for US patent application 18335921 titled 'MACHINE LEARNING COLLABORATION TECHNIQUES




==Original Abstract Submitted==

A feedback management subsystem receives, from a first user, first text comprising commentary on an item. The feedback management subsystem receives, from the first user, instructions to request commentary on the item from a second user. Responsive to receiving the instructions to request commentary from the second user, a communication subsystem transmits a notification to the second user. The feedback management subsystem receives, from the second user, second text comprising commentary on the item. A first machine learning model performs sentiment analysis to identify sentiments of the first text and the second text. A recommendation subsystem identifies prior actions of the first user and associated sentiments of the second user. A second machine learning model identifies a second item based on the prior actions of the first user and the sentiments of the second user. The recommendation subsystem provides output to the first user recommending the second item.



[[Category:G06Q30/0601]]
[[Category:G06F40/20]]
[[Category:CPC_G06Q30/0631]]