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:
Jan. 13, 2026

Filed:

Sep. 19, 2022
Applicant:

Salesforce, Inc., San Francisco, CA (US);

Inventors:

Lidiya Murakhovs'ka, San Francisco, CA (US);

Chien-Sheng Wu, San Francisco, CA (US);

Yixin Mao, San Francisco, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/3329 (2025.01); G06F 16/34 (2025.01); G06F 16/358 (2025.01); G06F 16/383 (2019.01); G06F 40/35 (2020.01); G10L 15/08 (2006.01); G10L 15/18 (2013.01); G10L 15/20 (2006.01); G10L 15/22 (2006.01); G10L 15/26 (2006.01); H04L 51/02 (2022.01);
U.S. Cl.
CPC ...
G06F 40/35 (2020.01); G06F 16/3329 (2019.01); G06F 16/345 (2019.01); G06F 16/358 (2019.01); G06F 16/383 (2019.01); G10L 15/083 (2013.01); G10L 15/1815 (2013.01); G10L 15/20 (2013.01); G10L 15/22 (2013.01); G10L 15/26 (2013.01); H04L 51/02 (2013.01);
Abstract

Database systems and methods are provided for assigning structural metadata to records and creating automations using the structural metadata. One method of assigning structural metadata to a record associated with a conversation involves obtaining a plurality of utterances associated with the conversation, the plurality of utterances including at least a first set of utterances by a first actor and a second set of utterances corresponding to a second actor, obtaining a summarization of semantic content of the conversation based at least in part on an initial subset of the plurality of utterances using a summarization model, identifying, from among the first set of utterances corresponding to the first actor, a representative utterance that is closest to the summarization of the semantic content of the conversation, and automatically updating the record associated with the conversation at a database system to include metadata identifying the representative utterance by the first actor.


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