Curated data platform
AssigneeSamsung Electronics Co., Ltd.
InventorsAndres Ortega, Ashwin Chandra, David Ho Suk Chung
Life of this patent
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Abstract
A method includes generating one or more graphs representing automatic content recognition (ACR) data associated with a computing device; identifying one or more paths representing at least a portion of the one or more graphs; training one or more models based on inputting the one or more paths into one or more machine-learning algorithms; producing one or more embeddings from the one or more models; and clustering the one or more embeddings to provide at least one cluster corresponding to a behavioral profile associated with the computing device.
Claims20
A method comprising:
- generating, by a computing system, one or more graphs representing automatic content recognition (ACR) data associated with a computing device;
- identifying, by the computing system, one or more paths representing at least a portion of the one or more graphs;
- training, by the computing system, one or more models based on inputting the one or more paths into one or more machine-learning algorithms;
- producing, by the computing system, one or more embeddings from the one or more models;
- and
- clustering, by the computing system the one or more embeddings to provide at east one cluster corresponding to a behavioral profile associated with the computing device.
A non-transitory computer-readable medium comprising instructions that, when executed by one or more processors of a computing system, cause the one or more processors to:
- generate one or more graphs representing automatic content recognition (ACR) data associated with a computing device;
- identify one or more paths representing at least a portion of the one or more graphs;
- train one or more models based on inputting the one or more paths into one or more machine-learning algorithms;
- produce one or more embeddings from the one or more models;
- and
- cluster the one or more embeddings to provide at least one cluster corresponding to a behavioral profile associated with the computing device.
A system comprising:
- one or more non-transitory computer-readable storage media including instructions;
- and
- one or more processors coupled to the storage media, the one or more processors configured to execute the instructions to:
- generate one or more graphs representing automatic content recognition (ACR) data associated with a computing device;
- identify one or more paths representing at least a portion of the one or more graphs;
- train one or more models based on inputting the one or more paths into one or more machine-learning algorithms;
- produce one or more embeddings from the one or more models;
- and
- cluster the one or more embeddings to provide at least one cluster corresponding to a behavioral profile associated with the computing device.
Dependencies are inferred from the claim text.