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:
Jun. 08, 2021

Filed:

Nov. 28, 2017
Applicant:

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

Inventors:

Samarth Gulati, San Francisco, CA (US);

Brett Butterfield, San Francisco, CA (US);

Baldo Faieta, San Francisco, CA (US);

Bernard James Kerr, Sausalito, CA (US);

Kent Andrew Edmonds, San Jose, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/583 (2019.01); G06F 16/532 (2019.01); G06F 16/56 (2019.01); G06F 16/9535 (2019.01);
U.S. Cl.
CPC ...
G06F 16/5838 (2019.01); G06F 16/532 (2019.01); G06F 16/56 (2019.01); G06F 16/583 (2019.01); G06F 16/9535 (2019.01);
Abstract

Systems and methods for searching digital content, such as digital images, are disclosed. A method includes receiving a first search constraint and generating search results based on the first search constraint. A search constraint includes search values or criteria. The search results include a ranked set of digital images. A second search constraint and a weight value associated with the second search constraint are received. The search results are updated based on the second search constraint and the weight value. The updated search results are provided to a user. Updating the search results includes determining a ranking (or a re-ranking) for each item of content included in the search results based on the first search constraint, the second search constraint, and the weight value. Re-ranking the search results may further be based on a weight value associated with the first search constraint, such as a default or maximum weight value.


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