Invention Grant
- Patent Title: Identifying recommended feature sets based on application feature popularity
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Application No.: US17125675Application Date: 2020-12-17
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Publication No.: US11652849B2Publication Date: 2023-05-16
- Inventor: Sourabh Satish , Oliver Friedrichs , Atif Mahadik , Govind Salinas , Ryan Russell
- Applicant: Splunk Inc.
- Applicant Address: US CA San Francisco
- Assignee: Splunk Inc.
- Current Assignee: Splunk Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Nicholson De Vos Webster & Elliott LLP
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G06F21/00 ; G06F21/57

Abstract:
Systems, methods, and software described herein provide for identifying recommended feature sets for new security applications. In one example, a method of providing recommended feature sets for a new security application includes identifying a request for the new security application, and determining a classification for the new security application. The method further provides identifying related applications to the new security application based on the classification, and identifying a feature set for the new security application based on features provided in the related applications.
Public/Granted literature
- US20210144182A1 IDENTIFYING RECOMMENDED FEATURE SETS BASED ON APPLICATION FEATURE POPULARITY Public/Granted day:2021-05-13
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