The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 29, 2022

Filed:

Oct. 10, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Dakuo Wang, Cambridge, MA (US);

Ming Tan, Malden, MA (US);

Mo Yu, White Plains, NY (US);

Haoyu Wang, Somerville, MA (US);

Yupeng Gao, Elmsford, NY (US);

Chuang Gan, Cambridge, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 20/00 (2019.01); H04L 51/42 (2022.01); H04L 51/00 (2022.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06N 3/082 (2013.01); G06N 3/049 (2013.01); G06N 20/00 (2019.01); H04L 51/16 (2013.01); H04L 51/22 (2013.01);
Abstract

A computer system identifies threads in a communication session. A feature vector is generated for a message in a communication session, wherein the feature vector includes elements for features and contextual information of the message. The message feature vector and feature vectors for a plurality of threads are processed using machine learning models each associated with a corresponding thread to determine a set of probability values for classifying the message into at least one thread, wherein the threads include one or more pre-existing threads and a new thread. A classification of the message into at least one of the threads is indicated based on the set of probability values. Classification of one or more prior messages is adjusted based on the message's classification. Embodiments of the present invention further include a method and program product for identifying threads in a communication session in substantially the same manner described above.


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