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. 09, 2024

Filed:

May. 18, 2020
Applicant:

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

Inventors:

Sudhir Tubegere Shankaranarayana, Bangalore, IN;

Sreenivas Ramaswamy, Bangalore, IN;

Sachin Tripathi, Bengaluru, IN;

Reetesh Mukul, Bangalore, IN;

Mayuri Jain, Bangalore, IN;

Bhakti Ramnani, Jaora District Ratlam, IN;

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/33 (2019.01); G06F 16/332 (2019.01); G06F 40/284 (2020.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 16/3322 (2019.01); G06F 16/3334 (2019.01); G06F 40/284 (2020.01); G06N 20/00 (2019.01);
Abstract

A context-based recommendation system for feature search automatically identifies features of a feature-rich system (e.g., an application) based on the program code of the feature-rich system and additional data corresponding to the feature-rich system. A code workflow graph describing workflows in the program code is generated. Various data corresponding to the feature-rich system, such as help data, analytics data, social media data, and so forth is obtained. The code workflow graph and the data are analyzed to identify sentences in the workflow. These sentences are used to a train machine learning system to generate one or more recommendations. In response to a user query, the machine learning system generates and outputs as recommendations workflows identified based on the user query.


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