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Neural network systems and methods for generating distributed representations of electronic transaction information

机译:用于生成电子交易信息的分布式表示的神经网络系统和方法

摘要

Computer-implemented methods and systems are provided for generating a distributed representation of electronic transaction data. Consistent with disclosed embodiments, generation may include receiving electronic transaction data including first and second entity identifiers. Generation may also include generating an output distributed representation by iteratively updating a distributed representation using the electronic transaction data. The distributed representation may include rows corresponding to first entity identifiers and rows corresponding to second entity identifiers. An iterative update may include generating a training sample and an embedding vector using the components and the distributed representation; determining, by a neural network, a predicted category from the embedding vector; and updating the distributed representation using the predicted category and the training sample. The embodiments may also include outputting the output distributed representation to determine authorization of electronic transactions. Disclosed embodiments may also receive an electronic transaction and determine whether to authorize the electronic transaction based on a distributed representation of electronic transaction data.
机译:提供计算机实现的方法和系统,用于生成电子交易数据的分布式表示。与所公开的实施例一致,生成可以包括接收包括第一和第二实体标识符的电子交易数据。一代还可以包括通过使用电子交易数据迭代地更新分布式表示来生成输出分布式表示。分布式表示可以包括对应于与第二实体标识符相对应的第一实体标识符的行。迭代更新可以包括使用组件和分布式表示生成训练样本和嵌入矢量;通过神经网络确定来自嵌入矢量的预测类别;使用预测类别和训练样本更新分布式表示。实施例还可以包括输出输出分布式表示以确定电子事务的授权。所公开的实施例还可以接收电子交易并基于电子交易数据的分布式表示来确定是否授权电子交易。

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