公开(公告)号：US20210357440A1

公开(公告)日：2021-11-18

申请号：US16876624

申请日：2020-05-18

Applicant: Adobe Inc.

Inventor： Sudhir Tubegere Shankaranarayana ,  Sreenivas Ramaswamy ,  Sachin Tripathi ,  Reetesh Mukul ,  Mayuri Jain ,  Bhakti Ramnani

IPC: G06F16/332 ,  G06N20/00 ,  G06F16/33 ,  G06F40/284

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.

公开(公告)号：US12032607B2

公开(公告)日：2024-07-09

申请号：US16876624

申请日：2020-05-18

Applicant: Adobe Inc.

Inventor： Sudhir Tubegere Shankaranarayana ,  Sreenivas Ramaswamy ,  Sachin Tripathi ,  Reetesh Mukul ,  Mayuri Jain ,  Bhakti Ramnani

IPC: G06F16/33 ,  G06F16/332 ,  G06F40/284 ,  G06N20/00

CPC classification number: G06F16/3322 ,  G06F16/3334 ,  G06F40/284 ,  G06N20/00

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.