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:

Sep. 09, 2020
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Ryan Rossi, San Jose, CA (US);

Vasanthi Holtcamp, San Jose, CA (US);

Tak Yeon Lee, Cupertino, CA (US);

Sana Lee, Brea, CA (US);

Nathan Ross, San Jose, CA (US);

John Anderson, American Fort, UT (US);

Fan Du, San Jose, CA (US);

Eunyee Koh, San Jose, CA (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06F 17/18 (2006.01); G06F 3/0482 (2013.01);
U.S. Cl.
CPC ...
G06K 9/623 (2013.01); G06F 3/0482 (2013.01); G06F 17/18 (2013.01); G06K 9/6215 (2013.01);
Abstract

This disclosure involves generating, from a user data set, a ranked list of recommended secondary variables in a user interface field similar to primary variable selected in another user interface field. A system receives a data set having variables and corresponding sets of values. The data visualization system determines a feature vector for each variable based on statistics of a corresponding values set. The system generates a variable similarity graph having nodes representing variables and links representing degrees of similarity between feature vectors of variables. The system receives a selection of a first variable via a first field of the user interface, detects a selection of a second field, and identifies a relationship between the first field and the second field. The system generates a contextual menu of recommended secondary variables for use with the selected first variable based on similarity value of the links in the variable similarity graph.


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