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. 14, 2023

Filed:

Jan. 13, 2021
Applicant:

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

Inventors:

Shagun Kush, Karnal, IN;

Sachin Soni, New Delhi, IN;

Nikita Kapoor, Singrauli Madhya Pradesh, IN;

Carl Iwan Dockhorn, San Jose, CA (US);

Ashish Rawat, Uttarakhand, IN;

Ajay Jain, Upper Pradesh, IN;

Abhishek Jain, Delhi, IN;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/106 (2020.01); G06F 40/289 (2020.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06F 40/289 (2020.01); G06F 40/30 (2020.01);
Abstract

Techniques are provided herein for generating improved document summaries that consider the amount of time that has passed since the user last accessed the document. The length of time that has passed since the user has accessed each previous portion of the document is used as a variable to determine how much the summary should focus on each of the previously read sections of the document. When a document is accessed by a user, a relevance score is assigned to content from previously accessed sections of that document, where the relevance score is weighted based on how long ago each of the sections was accessed by the user. Once the various content items of previous sections have been provided relevance scores, selected sentences with the highest relevance scores are fed to a deep learning sequence-to-sequence model is used to build the document summary.


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