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SYSTEMS AND METHODS FOR INTELLIGENT RESPONSES TO QUERIES BASED ON TRAINED PROCESSES

机译:基于训练过程的智能查询查询的系统和方法

摘要

Systems and methods are provided that use a trained process to reply to a request comprising query data defining a query and context data defining contextual factors for the query from a device. The query is answered by one or more selected APIs of a plurality of APIs that invoke respective services to prepare a response. The trained process determines an execution plan responsive to the query data and the context data and is configured using training to define execution plans comprising selected APIs where a particular API is selected for the plan if it answers at least a portion of the query and the selected APIs together prepare the response optimized for the device according to the context data. The plan is provided to an execution component to execute the plan using the selected APIs and send the response to the requesting device.
机译:提供了使用训练有素的过程来答复请求的系统和方法,该请求包括定义查询的查询数据和定义来自设备的查询的上下文因素的上下文数据。该查询由调用相应服务以准备响应的多个API中的一个或多个选定的API回答。受过训练的过程确定响应于查询数据和上下文数据的执行计划,并且被配置为使用训练来定义包括所选API的执行计划,其中如果特定API回答了查询的至少一部分并且被选择,则为该计划选择特定的API API会根据上下文数据一起准备针对设备优化的响应。将该计划提供给执行组件,以使用所选的API执行计划,并将响应发送到请求设备。

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