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:
Feb. 08, 2022

Filed:

Jan. 29, 2018
Applicant:

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

Inventors:

Arun Kumar Jagota, Sunnyvale, CA (US);

Kevin Han, San Mateo, CA (US);

Assignee:

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

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 7/00 (2006.01); G06N 20/00 (2019.01); G06F 16/901 (2019.01); G06F 16/2453 (2019.01); G06F 16/951 (2019.01);
U.S. Cl.
CPC ...
G06N 7/005 (2013.01); G06F 16/24537 (2019.01); G06F 16/9024 (2019.01); G06N 20/00 (2019.01); G06F 16/951 (2019.01);
Abstract

Search query result set count estimation is described. A system parses data set query that includes first query attribute and second query attribute. The system identifies first hierarchy of connected nodes including a first node representing a first query attribute, and a second hierarchy of other connected nodes including a second node representing a second query attribute. The system identifies a directed arc connecting first correlated node in first hierarchy to second correlated node in second hierarchy. The system identifies cross-hierarchy probabilities of correlations between values of a first attribute represented by the first correlated node and values of a second attribute represented by the second correlated node. The system outputs query result set estimated count generated from cross-hierarchy probabilities, probabilities that values of first attribute are associated with values corresponding to first node, and probabilities that values of second attribute are associated with values corresponding to second node.


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