Generating and using training datasets for robocall campaign identification and/or mitigation
OwnerShaun Jaikarran Bharrat, Michael Stovenourinventors
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Abstract
The present invention relates to methods, systems, and apparatus for generating labeled robocall campaign datasets, using the labeled robocall campaign datasets for generating and/or training robocall detection models and/or deployment and use of the generated and/or trained robocall detect models. An exemplary embodiment includes the steps of: generating a labeled robocall campaign training dataset; training one or more robocall detection models using the generated labeled robocall campaign training dataset; and deploying one or more or all or any combination of the one or more trained robocall detection models in a communications network.
Claims20
A method comprising:
- generating a labeled robocall campaign training dataset;
- training one or more robocall detection models using said generated labeled robocall campaign training dataset;
- and
- deploying one or more of said one or more trained robocall detection models in a communications network.
A system comprising:
- memory;
- and
- a first processor, said first processor controlling the system to perform the following operations:
- generating a labeled robocall campaign training dataset;
- training one or more robocall detection models using said generated labeled robocall campaign training dataset;
- and
- deploying one or more of said one or more trained robocall detection models in a communications network.
A non-transitory computer readable medium including a first set of computer executable instructions which when executed by a processor of a system cause the system to perform the following operations:
- generating a labeled robocall campaign training dataset;
- training one or more robocall detection models using said generated labeled robocall campaign training dataset;
- and
- deploying one or more or all or any combination of said one or more trained robocall detection models in a communications network.
Dependencies are inferred from the claim text.