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US 2015/0310358 A1Published application
Modeling consumer activity
OwnerMohammad Iman Khabazianinventor
Life of this patent
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Abstract
For modeling consumer activity, code generates potential model types. In addition, the code divides activity data into a training data set, a test data set, and a validation data set. The code further trains the potential model types with the training set data. In addition, the code selects a model type with the test data set. The code calculates algorithmic parameters with the validation data set.
Claims20
A method comprising:
- generating, by use of a processor, potential model types;
- dividing activity data into a training data set, a test data set, and a validation data set;
- training weights for the potential model types with the training set data;
- and
- selecting a model type that minimizes a cost function wherein the weights are trained against the validation data set and the cost function is evaluated against the test data set.
2 more elements
A program product comprising a computer readable storage medium that stores code executable by a processor, the executable code comprising code to perform:
- generating potential model types;
- dividing activity data into a training data set, a test data set, and a validation data set;
- training weights for the potential model types with the training set data;
- and
- selecting a model type that minimizes a cost function wherein the weights are trained against the validation data set and the cost function is evaluated against the test data set.
2 more elements
Dependencies are inferred from the claim text.