Invention Grant
- Patent Title: Contextual services in a network using a deep learning agent
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Application No.: US16666518Application Date: 2019-10-29
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Publication No.: US11005965B2Publication Date: 2021-05-11
- Inventor: Hugo Latapie , Enzo Fenoglio , Plamen Nedeltchev , Manikandan Kesavan , Joseph Friel
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Behmke Innovation Group LLC
- Agent James M. Behmke; Jonathon P. Western
- Main IPC: G06F15/16
- IPC: G06F15/16 ; H04L29/08 ; H04L12/26 ; H04L12/24

Abstract:
In one embodiment, a device in a network monitors a plurality of traffic flows in the network. The device extracts a plurality of features from the monitored plurality of traffic flows. The device generates a context model by using deep learning and reinforcement learning on the plurality of features extracted from the monitored traffic flows. The device applies the context model to a particular traffic flow associated with a client, to determine a context for the particular traffic flow. The device personalizes data sent to the client from a remote source based on the determined context.
Public/Granted literature
- US20200068041A1 CONTEXTUAL SERVICES IN A NETWORK USING A DEEP LEARNING AGENT Public/Granted day:2020-02-27
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