Invention Grant
- Patent Title: Predicting user-file interactions
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Application No.: US17322360Application Date: 2021-05-17
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Publication No.: US11799835B2Publication Date: 2023-10-24
- Inventor: Kave Eshghi
- Applicant: Box, Inc.
- Applicant Address: US CA Redwood City
- Assignee: Box, Inc.
- Current Assignee: Box, Inc.
- Current Assignee Address: US CA Redwood City
- Agency: Vista IP Law Group, LLP
- Main IPC: H04L29/06
- IPC: H04L29/06 ; H04L9/40 ; G06F16/901 ; G06N7/01

Abstract:
Disclosed is an improved systems, methods, and computer program products that use a cluster-based probability model to perform anomaly detection, where the clusters are based upon entities and interactions that exist in content management platforms.
Public/Granted literature
- US20210273908A1 PREDICTING USER-FILE INTERACTIONS Public/Granted day:2021-09-02
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