Invention Grant
- Patent Title: Generation and use of model parameters in cold-start scenarios
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Application No.: US15483859Application Date: 2017-04-10
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Publication No.: US10726334B1Publication Date: 2020-07-28
- Inventor: Eiman Mohamed Hamdy Elnahrawy , Vijai Mohan , Eric Nalisnick
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/02

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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