Invention Application
- Patent Title: PREDICTING USER-FILE INTERACTIONS
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Application No.: US16115069Application Date: 2018-08-28
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Publication No.: US20200076768A1Publication Date: 2020-03-05
- 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
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06F17/30 ; G06N7/00

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
- US11012421B2 Predicting user-file interactions Public/Granted day:2021-05-18
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