IDENTIFYING CALL FEATURES AND ASSOCIATIONS TO DETECT CALL TRAFFIC PUMPING AND TAKE CORRECTIVE ACTION

    公开(公告)号:US20170149984A1

    公开(公告)日:2017-05-25

    申请号:US15339682

    申请日:2016-10-31

    Applicant: Marchex, Inc.

    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.

    Identifying call features and associations to detect call traffic pumping and take corrective action

    公开(公告)号:US10230851B2

    公开(公告)日:2019-03-12

    申请号:US15339682

    申请日:2016-10-31

    Applicant: Marchex, Inc.

    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.

Patent Agency Ranking