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System, Method, and Computer Program Product for Implementing a Hybrid Deep Neural Network Model to Determine a Market Strategy
System, Method, and Computer Program Product for Implementing a Hybrid Deep Neural Network Model to Determine a Market Strategy
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机译：用于实现混合深层神经网络模型以确定市场策略的系统，方法和计算机程序产品
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摘要
Provided is a computer-implemented method for implementing a hybrid deep neural network. The method may include generating a first model comprising a generalized matrix factorization model, the generalized matrix factorization model configured to determine one or more latent factors based on receiving transaction data associated with one or more payment transactions; generating a second model comprising a deep neural network model, the deep neural network model comprising a plurality of hidden layers; generating a combined model; and determining a rating for a payment account based on transaction data associated with a plurality of payment transactions, wherein the rating comprises an indication that the payment account will be used to conduct a plurality of payment transactions involving a merchant, and wherein the transaction data comprises merchant transaction data and user transaction data. A system and computer program product are also provided.
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