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Combined Wide And Deep Machine Learning Models For Automated Database Element Processing Systems, Methods And Apparatuses
Combined Wide And Deep Machine Learning Models For Automated Database Element Processing Systems, Methods And Apparatuses
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机译:用于自动数据库元素处理系统、方法和设备的组合广泛和深入机器学习模型
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摘要
A method of automated database element processing includes training a wide machine learning model with historical feature vector inputs to generate a wide ranked element output. The method includes training a deep machine learning model with the historical feature vector inputs to generate a deep ranked element output. The method includes generating a set of inputs specific to an individual entity, obtaining a set of current article database elements, and creating a feature vector input according to the set of inputs and the set of current article database elements. The method includes processing the feature vector input with the wide machine learning model to generate a wide ranked element list, processing the feature vector input with the deep machine learning model to generate a deep ranked element list, and merging database elements of the wide and deep ranked element lists to generate a ranked element recommendation output.
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