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기록

SYSTEM AND METHOD FOR COMMUNICATION DATA IDENTIFICATION AND ALERT GENERATION VIA A MACHINE LEARNING FRAMEWORK

발명심사 중
20청구항 · 3 독립항
§ Ⅰ

개요

발명자

Anantharajan Srinivasarangan; Dinesh Kumar Agrawal; Kiran Pulla

IPC 분류

H4L 67/55G6F 3/481H4L 45/16

CPC 분류

H4L67/55G6F3/481H4L45/16

Systems, computer program products, and methods are described herein for communication data identification and alert generation via a machine learning framework. The present disclosure includes determining a first status of an underlying service, receiving a stream of interaction data from a first user via at least one channel, classifying an interaction via a first machine learning model, generating a first notification signal via a second machine learning model, wherein the second machine learning model may be provided, as inputs, the first status of the underlying service and an interaction pattern associated with the identity, and transmitting the first notification signal via the at least one channel to a first endpoint device associated with the first user.

원문 (중국어)

Systems, computer program products, and methods are described herein for communication data identification and alert generation via a machine learning framework. The present disclosure includes determining a first status of an underlying service, receiving a stream of interaction data from a first user via at least one channel, classifying an interaction via a first machine learning model, generating a first notification signal via a second machine learning model, wherein the second machine learning model may be provided, as inputs, the first status of the underlying service and an interaction pattern associated with the identity, and transmitting the first notification signal via the at least one channel to a first endpoint device associated with the first user.