Methods, systems, and apparatus for learning a model for predicting characteristics of a user
AssigneeQuova, Inc.
InventorArmand Erik Prieditis
Life of this patent
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Abstract
Methods, systems, and apparatus for generating a model for predicting the characteristics of a user are described. A model template for predicting the one or more characteristics of the selected user is obtained. Training data comprising social relationship information and one or more user characteristics for each of one or more source users is obtained. One or more parameters of the model are determined based on the training data.
Claims25
A method for generating a model for predicting one or more characteristics of a selected user, comprising:
- obtaining a model template for predicting the one or more characteristics of the selected user;
- obtaining training data comprising social relationship information and one or more user characteristics for each of one or more source users;
- and
- determining, using a hardware device, one or more parameters of the model based on the training data.
An apparatus for generating a model for predicting one or more characteristics of a selected user, the apparatus comprising:
- a processor;
- a memory to store instructions that, when executed by the processor, cause the processor to:
- obtain a model template for predicting the one or more characteristics of the selected user;
- obtain training data comprising social relationship information and one or more user characteristics for each of one or more source users;
- and
- determine, using a hardware device, one or more parameters of the model based on the training data.
An article of manufacture comprising a non-transitory machine-readable storage medium having machine executable instructions embedded thereon, which when executed by a machine, cause the machine to:
- obtain a model template for predicting the one or more characteristics of the selected user;
- obtain training data comprising social relationship information and one or more user characteristics for each of one or more source users;
- and
- determine, using a hardware device, one or more parameters of the model based on the training data.
Dependencies are inferred from the claim text.