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:
Apr. 26, 2022

Filed:

Apr. 28, 2020
Applicant:

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

Inventors:

Son Thanh Chang, Oakland, CA (US);

Weiping Peng, San Francisco, CA (US);

Na Cheng, Dublin, CA (US);

Feifei Jiang, San Mateo, CA (US);

Jacob Nathaniel Huffman, Oakland, CA (US);

Nandini Suresh Kumar, San Francisco, CA (US);

Khoa Le, San Francisco, CA (US);

Christopher Larry, San Francisco, CA (US);

Assignee:

salesforce.com, inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06N 20/00 (2019.01); G06F 16/31 (2019.01); G06F 16/35 (2019.01); G06F 16/34 (2019.01); H04L 51/56 (2022.01); G06F 16/2457 (2019.01); G06F 16/2455 (2019.01); G06F 16/9535 (2019.01);
U.S. Cl.
CPC ...
G06F 16/328 (2019.01); G06F 16/24564 (2019.01); G06F 16/24578 (2019.01); G06F 16/345 (2019.01); G06F 16/35 (2019.01); G06F 16/9535 (2019.01); G06N 20/00 (2019.01); H04L 51/36 (2013.01);
Abstract

Computing systems, database systems, and related methods are provided for recommending values for fields of database objects and dynamically updating a recommended value for a field of a database record in response to updated auxiliary data associated with the database record. One method involves obtaining associated conversational data, segmenting the conversational data, converting each respective segment of conversational data into a numerical representation, generating a combined numerical representation of the conversational data based on the sequence of numerical representations using an aggregation model, generating the recommended value based on the combined numerical representation of the conversational data using a prediction model associated with the field, and autopopulating the field of the case database object with the recommended value.


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