Title:
MACHINE-LEARNING-BASED BLOCKED CALL DETECTION SYSTEM AND CONTROL METHOD THEREOF
Document Type and Number:
WIPO Patent Application WO/2022/065541
Kind Code:
A1
Abstract:
Disclosed are a machine-learning-based blocked call detection system and a control method thereof. A control method of a blocked call detection system according to the present invention comprises the steps of: collecting basic call processing data, including call quality per unit time, about individual calls; generating a distribution plot of call quality on the basis of the call quality per unit time included in the basic call processing data; determining each parameter of an artificial intelligence system by performing machine-learning using, as input values, the generated distribution plot of the call quality and at least one piece of information included in the basic call processing data; and applying at least one among real-time call connection data or CDR data to the artificial intelligent system to determine blocked calls.
Inventors:
KIM JONG-JOO (KR)
Application Number:
PCT/KR2020/012867
Publication Date:
March 31, 2022
Filing Date:
September 23, 2020
Export Citation:
Assignee:
GENIETEC CO LTD (KR)
International Classes:
H04M3/22; G06N3/08; G06N20/00
Foreign References:
| US20190174000A1 | 2019-06-06 | |||
| KR102087959B1 | 2020-03-11 | |||
| US20160192222A1 | 2016-06-30 | |||
| KR101059362B1 | 2011-08-24 | |||
| US20190132757A1 | 2019-05-02 |
Attorney, Agent or Firm:
KIM, Ham-Kon (KR)
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