-
1.发明申请公开(公告)号：US20180324297A1
公开(公告)日：2018-11-08
申请号：US15801019
申请日：2017-11-01
Applicant: Transaction Network Services, Inc.
Inventor： Sean J. Kent , Ken Cartwright , Amit Singla , Srikanth Mohan , Paul Florack
CPC classification number: H04M3/436 , G06N99/005 , H04M3/42042 , H04M2203/551 , H04M2203/6027 , H04Q3/0029 , H04Q3/0083 , H04Q2213/13139 , H04Q2213/13345
Abstract: Systems and methods are disclosed for using machine-learning techniques for labeling incoming calls with categories relating to a risk level. A model is generated using call log data. The call log data is augmented using information from additional data sources to generate features for the model. The model may then be used to categorize additional incoming calls. The model may be used in real-time to categorize incoming calls, or categorization results may be stored for a plurality of calling numbers. Various embodiments provide various technical advantages by virtue of how the components of the system are deployed between an endpoint communication device, a telephony provider system, and possibly other systems.
-
2.发明授权公开(公告)号：US11343375B2
公开(公告)日：2022-05-24
申请号：US17106049
申请日：2020-11-27
Applicant: Transaction Network Services, Inc.
Inventor： Sean J. Kent , Ken Cartwright , Amit Singla , Srikanth Mohan , Paul Florack
Abstract: Systems and methods for using machine-learning techniques for labeling incoming calls with categories relating to a risk level. A model is generated using call log data. The call log data is augmented using information from additional data sources to generate features for the model. The model may then be used to categorize additional incoming calls. The model may be used in real-time to categorize incoming calls, or categorization results may be stored for a plurality of calling numbers. Various embodiments provide various technical advantages by virtue of how the components of the system are deployed between an endpoint communication device, a telephony provider system, and possibly other systems.
-
3.发明申请公开(公告)号：US20210084147A1
公开(公告)日：2021-03-18
申请号：US17106049
申请日：2020-11-27
Applicant: Transaction Network Services, Inc.
Inventor： Sean J. Kent , Ken Cartwright , Amit Singla , Srikanth Mohan , Paul Florack
Abstract: Systems and methods are disclosed for using machine-learning techniques for labeling incoming calls with categories relating to a risk level. A model is generated using call log data. The call log data is augmented using information from additional data sources to generate features for the model. The model may then be used to categorize additional incoming calls. The model may be used in real-time to categorize incoming calls, or categorization results may be stored for a plurality of calling numbers. Various embodiments provide various technical advantages by virtue of how the components of the system are deployed between an endpoint communication device, a telephony provider system, and possibly other systems.
-
Patent Agency Ranking
4.发明申请公开(公告)号：US20200177729A1
公开(公告)日：2020-06-04
申请号：US16780580
申请日：2020-02-03
Applicant: Transaction Network Services, Inc.
Inventor： Sean J. Kent , Ken Cartwright , Amit Singla , Srikanth Mohan , Paul Florack
Abstract: Systems and methods are disclosed for using machine-learning techniques for labeling incoming calls with categories relating to a risk level. A model is generated using call log data. The call log data is augmented using information from additional data sources to generate features for the model. The model may then be used to categorize additional incoming calls. The model may be used in real-time to categorize incoming calls, or categorization results may be stored for a plurality of calling numbers. Various embodiments provide various technical advantages by virtue of how the components of the system are deployed between an endpoint communication device, a telephony provider system, and possibly other systems.
-
5.发明申请公开(公告)号：US20190230223A1
公开(公告)日：2019-07-25
申请号：US16369282
申请日：2019-03-29
Applicant: Transaction Network Services, Inc.
Inventor： Sean J. Kent , Ken Cartwright , Amit Singla , Srikanth Mohan , Paul Florack
Abstract: Systems and methods are disclosed for using machine-learning techniques for labeling incoming calls with categories relating to a risk level. A model is generated using call log data. The call log data is augmented using information from additional data sources to generate features for the model. The model may then be used to categorize additional incoming calls. The model may be used in real-time to categorize incoming calls, or categorization results may be stored for a plurality of calling numbers. Various embodiments provide various technical advantages by virtue of how the components of the system are deployed between an endpoint communication device, a telephony provider system, and possibly other systems.
-
6.发明授权公开(公告)号：US10284720B2
公开(公告)日：2019-05-07
申请号：US15801019
申请日：2017-11-01
Applicant: Transaction Network Services, Inc.
Inventor： Sean J. Kent , Ken Cartwright , Amit Singla , Srikanth Mohan , Paul Florack
Abstract: Systems and methods for using machine-learning techniques for labeling incoming calls with categories relating to a risk level. A model is generated using call log data. The call log data is augmented using information from additional data sources to generate features for the model. The model may then be used to categorize additional incoming calls. The model may be used in real-time to categorize incoming calls, or categorization results may be stored for a plurality of calling numbers. Various embodiments provide various technical advantages by virtue of how the components of the system are deployed between an endpoint communication device, a telephony provider system, and possibly other systems.
-
7.发明授权公开(公告)号：US10855840B2
公开(公告)日：2020-12-01
申请号：US16780580
申请日：2020-02-03
Applicant: Transaction Network Services, Inc.
Inventor： Sean J. Kent , Ken Cartwright , Amit Singla , Srikanth Mohan , Paul Florack
Abstract: Systems and methods for using machine-learning techniques for labeling incoming calls with categories relating to a risk level. A model is generated using call log data. The call log data is augmented using information from additional data sources to generate features for the model. The model may then be used to categorize additional incoming calls. The model may be used in real-time to categorize incoming calls, or categorization results may be stored for a plurality of calling numbers. Various embodiments provide various technical advantages by virtue of how the components of the system are deployed between an endpoint communication device, a telephony provider system, and possibly other systems.
-
8.发明授权公开(公告)号：US10554813B2
公开(公告)日：2020-02-04
申请号：US16369282
申请日：2019-03-29
Applicant: Transaction Network Services, Inc.
Inventor： Sean J. Kent , Ken Cartwright , Amit Singla , Srikanth Mohan , Paul Florack
Abstract: Systems and methods for using machine-learning techniques for labeling incoming calls with categories relating to a risk level. A model is generated using call log data. The call log data is augmented using information from additional data sources to generate features for the model. The model may then be used to categorize additional incoming calls. The model may be used in real-time to categorize incoming calls, or categorization results may be stored for a plurality of calling numbers. Various embodiments provide various technical advantages by virtue of how the components of the system are deployed between an endpoint communication device, a telephony provider system, and possibly other systems.
-
-
-
-
-
-
-
Search Results
8
records
(took 0.016 seconds)
