Generation and use of model parameters in cold-start scenarios

    公开(公告)号:US10726334B1

    公开(公告)日:2020-07-28

    申请号:US15483859

    申请日:2017-04-10

    Abstract: The present disclosure is directed to generating and using a machine learning model, such as a neural network, by augmenting another machine learning model with an additional parameter. The additional parameter may be connected to some or all nodes of an internal layer of the neural network. A machine learning model can determine a value associated with the additional parameter using non-behavior or non-event-based information. The machine learning model can be trained using non-behavior or non-event-based information and parameter values of the other machine learning model.

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