Microsoft Technology Licensing, LLC

Haowen Ning

Christopher Szeto

Jingwei Huang

Haoyang Li

Viet Hung Nguyen

Jeffrey William Pasternack

Jia Liu

Sammy Shreibati

Pujita Mathur

Jack Henry Majoros

Ngoc M Vu

Akshaya Subbaraya Bhat

Arya Ghatak Choudhury

Yizhou Pan

Neil Cruz Pomerleau

Christian Wilhelm Kurt Byza

Howard Mario Narvaez

Kelly K Hosokawa

Ryan A Espiritu

Methods are presented for classifying responses to communications. One method includes presenting, in a first user interface (UI), a message from a sender to a recipient requesting a response. The first UI includes response options of a first classification, a second classification, and an entry field for entering a free text message. Another operation is for receiving a recipient response with a selection of: (a) the first or the second button and (b) the free text message entered in the text entry field. The method further includes generating a featurized recipient response based on the free text message and the selection. An acceptance machine-learning (ML) model calculates a classification value of the recipient response from a set of possible classification values based on the featurized recipient response. The method further includes presenting, in a second UI for the sender, an indicator for the message and the calculated classification value.

Communication response analyzer

Techniques for starting an electronic communication based on a captured image are disclosed herein. In some embodiments, a computer system detects that an image has been captured by a camera on a first mobile device of a first user, where the captured image has been captured by the camera at a point in time, and, in response to detecting that the image has been captured, the computer system identifies at least one other user in the captured image. In some example embodiments, the computer system transmits a message to an electronic destination associated with the other user(s) based on the identifying of the other user(s) in the captured image.

Starting electronic communication based on captured image

Disclosed are systems, methods, and non-transitory computer-readable media for batching requests for presence information. A client device determines a set of user indicators that are displayed on a display of the client device during a period of time. Each user indicator corresponds to a user of an online service, and is presented on the display as a result of a user of the client device viewing content provided by the online service. At completion of the period of time, the client device determines a set of remaining user indicators displayed on the display of the client device, and transmits, to a server associated with the online service, a batched request for presence information for a set of users corresponding to the set of remaining user indicators. The client device presents presence indicators indicating the status of the users based on the requested presence information.

Presence indicators

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Sunnyvale, CA, United States of America

Haowen Ning