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SINGLE MODEL-BASED BEHAVIOR PREDICTIONS IN AN ON-DEMAND ENVIRONMENT

机译:按需环境中基于单模型的行为预测

摘要

In accordance with embodiments, there are provided mechanisms and methods for facilitating single model-based behavior predictions in an on-demand services environment in an on-demand services environment according to one embodiment. In one embodiment and by way of example, a method comprises collecting, by a model selection and application server device (“model device”), information associated with customers of a tenant, and extracting, from the information, behavior traits of the customers as they relate to products or services offered by the tenant. The method further includes dynamically selecting, by the model device, a single model from a set of models to convert the behavior traits into predictions indicating anticipated conduct of each customer in relation to one or more products or one or more of the services of the tenant, where the single model performs multiple processes to convert the behavior traits into predictions, and where the multiple processes include at least two of the following: evaluating data, cleansing the data, transforming the data. The method may further include writing the data, and transmitting, over a communication medium, the predictions to the tenant.
机译:根据实施例,根据一个实施例,提供了用于在按需服务环境中的按需服务环境中促进基于单个模型的行为预测的机制和方法。在一个实施例中并且作为示例,一种方法包括通过模型选择和应用服务器设备(“模型设备”)收集与租户的顾客相关联的信息,并从该信息中提取顾客的行为特征,作为它们与租户提供的产品或服务有关。该方法还包括由模型设备动态地从一组模型中选择单个模型,以将行为特征转换为预测,该预测指示每个客户相对于租户的一个或多个产品或一个或多个服务的预期行为。 ,其中单个模型执行多个过程以将行为特征转换为预测,并且多个过程包括以下至少两项:评估数据,清理数据,转换数据。该方法可以进一步包括写入数据,以及通过通信介质将预测发送给租户。

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