ACCOUNT PREDICTION USING MACHINE LEARNING
Aspects of the present disclosure provide techniques for training a machine learning model. Embodiments include receiving a historical support record comprising time-stamped actions, a support initiation time, and an account indication. Embodiments include determining features of the historical supp...
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Main Authors | , , , , , |
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Format | Patent |
Language | English French German |
Published |
31.08.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Aspects of the present disclosure provide techniques for training a machine learning model. Embodiments include receiving a historical support record comprising time-stamped actions, a support initiation time, and an account indication. Embodiments include determining features of the historical support record based at least on differences between times of the time-stamped actions and the support initiation time. Embodiments include determining a label for the features based on the account indication. Embodiments include training an ensemble model, using training data comprising the features and the label, to determine an indication of an account in response to input features, wherein the ensemble model comprises a plurality of tree-based models and a ranking model. |
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Bibliography: | Application Number: EP20210729748 |