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Content recommendation based on efficacy models

机译:基于功效模型的内容推荐

摘要

A system and method for providing recommendation elements to users is disclosed. The system includes a processor and instructions storing memory which, when executed, cause the system to receive identification input data associated with a user, identify the user using the identification input data, receive sensor data, determine a current situation associated with the user by predefined situation data described predefined situations and / or linked parameters, receiving data describing a set of candidate elements, generating a set of efficacy matches for the set of candidate elements, eliminating one or more of the candidate elements from the set of candidate elements to obtain one or more remaining candidate elements, ranking the one or more remaining candidate elements based on one or more associated efficacy hits and providing one or more recommendation elements for the user from the one or more ordered remaining candidate elements.
机译:公开了一种用于向用户提供推荐元素的系统和方法。该系统包括处理器和存储指令的存储器,其在被执行时使系统接收与用户相关联的标识输入数据,使用该标识输入数据标识用户,接收传感器数据,通过预定义确定与用户相关联的当前状况。情况数据描述了预定义的情况和/或链接的参数,接收描述一组候选元素的数据,生成一组候选元素的功效匹配,从一组候选元素中消除一个或多个候选元素以获得一个或多个剩余候选元素,基于一个或多个相关功效命中对一个或多个剩余候选元素进行排名,并从一个或多个排序的剩余候选元素中为用户提供一个或多个推荐元素。

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