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Generating a representative model for a plurality of models identified by similar feature data

机译:为由相似特征数据标识的多个模型生成代表性模型

摘要

A computerized method for generating a representative model for a plurality of different models identified by similar feature data. A processing circuit receives a plurality of different models, each model configured for use in generating a second set of network user identifiers based on a first set of network user identifiers. The processing circuit receives feature data for each of the plurality of different models, each feature data having a corresponding feature weight data. The processing circuit identifies similar models within the plurality of different models based on a similarity of the feature data between models within the plurality of different models. The processing circuit generates the representative model to represent the similar models. The representative model may be used to generate the second set of network user identifiers based on the feature data and corresponding weight data of the representative model.
机译:一种用于为由相似特征数据标识的多个不同模型生成代表模型的计算机化方法。处理电路接收多个不同的模型,每个模型被配置用于基于第一组网络用户标识符来生成第二组网络用户标识符。处理电路接收用于多个不同模型中的每个模型的特征数据,每个特征数据具有对应的特征权重数据。处理电路基于多个不同模型内的模型之间的特征数据的相似性来识别多个不同模型内的相似模型。处理电路生成代表模型以代表相似模型。代表模型可以用于基于代表模型的特征数据和相应的权重数据来生成第二组网络用户标识符。

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