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Content Recommendation Based on Efficacy Models

机译:基于效能模型的内容推荐

摘要

The disclosure includes a system and method for providing recommendation items to users. The system includes a processor and a memory storing instructions that 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 from one or more predefined situations described by predefined situation data and associated parameters; receive data describing a set of candidate items; generate a set of efficacy scores for the set of candidate items; eliminate one or more candidate items from the set of candidate items to obtain one or more remaining candidate items; rank the one or more remaining candidate items based on one or more associated efficacy scores; and provide one or more recommendation items to the user from the one or more ranked remaining candidate items.
机译:本公开包括一种用于向用户提供推荐项目的系统和方法。该系统包括处理器和存储指令的存储器,该指令在被执行时使系统:接收与用户相关联的标识输入数据;以及使用识别输入数据识别用户;接收传感器数据;从由预定义情况数据和相关参数描述的一个或多个预定义情况中确定与用户相关联的当前情况;接收描述一组候选项目的数据;为一组候选项目生成一组功效评分;从候选项目集中消除一个或多个候选项目,以获得一个或多个剩余的候选项目;根据一项或多项相关的功效评分,对剩余的一项或多项候选项目进行排名;并从一个或多个排名剩余的候选项目中向用户提供一个或多个推荐项目。

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