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:
Jul. 05, 2022

Filed:

May. 29, 2019
Applicant:

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

Inventors:

Handong Zhao, San Jose, CA (US);

Zhiqiang Tao, Medford, MA (US);

Zhaowen Wang, San Jose, CA (US);

Sheng Li, Suwanee, GA (US);

Chen Fang, Sunnyvale, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/08 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); H04L 67/50 (2022.01); H04L 67/306 (2022.01);
U.S. Cl.
CPC ...
H04L 67/22 (2013.01); G06N 3/049 (2013.01); G06N 3/08 (2013.01); H04L 67/306 (2013.01);
Abstract

Methods and systems are provided for generating interpretable user modeling system. The interpretable user modeling system can use an intent neural network to implement one or more tasks. The intent neural network can bridge a semantic gap between log data and human language by leveraging tutorial data to understand user logs in a semantically meaningful way. A memory unit of the intent neural network can capture information from the tutorial data. Such a memory unit can be queried to identify human readable sentences related to actions received by the intent neural network. The human readable sentences can be used to interpret the user log data in a semantically meaningful way.


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