Invention Grant
US09485354B1 Identifying call features and associations to detect call traffic pumping and take corrective action
有权
识别呼叫功能和关联,以检测呼叫流量抽取并采取纠正措施
- Patent Title: Identifying call features and associations to detect call traffic pumping and take corrective action
- Patent Title (中): 识别呼叫功能和关联,以检测呼叫流量抽取并采取纠正措施
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Application No.: US14721912Application Date: 2015-05-26
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Publication No.: US09485354B1Publication Date: 2016-11-01
- Inventor: Jason Flaks , Iroro Orife , Bryan Rieger , Ryan O'Rourke , Shane Walker
- Applicant: Marchex, Inc.
- Applicant Address: US WA Seattle
- Assignee: Marchex, Inc.
- Current Assignee: Marchex, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Perkins Coie LLP
- Main IPC: H04M1/66
- IPC: H04M1/66 ; H04M3/36 ; H04M15/00 ; H04M3/22

Abstract:
A system and method for monitoring telephone calls to detect call traffic pumping activity and take corrective action is described. The system receives a group of training telephone calls having associated call audio content and associated information, and the system analyzes the training telephone calls to generate and store a classification model that correlates call features and associations with a probability of call traffic pumping activity. The system receives a subsequent monitored telephone call to be analyzed. The system analyzes the monitored telephone call to identify features present in the audio content of the monitored telephone call and other associated information. The system then compares the features and associated information to the stored classification model in order to determine a probability that the monitored telephone call is associated with call traffic pumping activity. If the assessed probability of call traffic pumping activity exceeds a threshold, the system takes appropriate corrective action, such as terminating or flagging the monitored call.
Public/Granted literature
- US20160330317A1 IDENTIFYING CALL FEATURES AND ASSOCIATIONS TO DETECT CALL TRAFFIC PUMPING AND TAKE CORRECTIVE ACTION Public/Granted day:2016-11-10
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