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Re-ranking search results using blended learning models

机译:使用混合学习模型重新排序搜索结果

摘要

A method and apparatus of a device that re-rank a plurality of search results is described. In an exemplary embodiment, the device receives a search query from a user and generates the plurality of search results over a plurality of search domains, wherein the plurality of search results is ranked according to a first ranking. The device additionally generates a re-ranking model, where the re-ranking model includes a plurality of intra-domain models that are generated based on at least based on-device interactions of a plurality of users interacting with a plurality of other devices and each of the plurality of search domains corresponds to one of the plurality of intra-domain models. The device further re-ranks the plurality of search results using the re-ranking model and presents the plurality of search results using the second ranking.
机译:描述重新排列多个搜索结果的设备的方法和装置。在示例性实施例中,设备从用户接收搜索查询,并在多个搜索域中生成多个搜索结果,其中多个搜索结果根据第一排名排序。该设备还生成重新排名模型,其中重新排名模型包括基于与多个其他设备交互的多个用户的至少基于用户的对设备交互产生的多个域模型在多个搜索域对应于多个域内模型中的一个。该装置还使用重新排名模型进一步重新排序多个搜索结果,并使用第二排名呈现多个搜索结果。

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