RE-RANKING SEARCH RESULTS USING BLENDED LEARNING MODELS
    1.
    发明申请
    RE-RANKING SEARCH RESULTS USING BLENDED LEARNING MODELS 审中-公开
    重新排名搜索结果使用混合学习模型

    公开(公告)号:WO2018080878A1

    公开(公告)日:2018-05-03

    申请号:PCT/US2017/057261

    申请日:2017-10-18

    Applicant: APPLE INC.

    Abstract: 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.

    Abstract translation: 描述了重新排列多个搜索结果的设备的方法和设备。 在示例性实施例中,设备从用户接收搜索查询并且在多个搜索域上生成多个搜索结果,其中多个搜索结果根据第一排名进行排名。 该设备另外生成重新排名模型,其中重新排名模型包括多个域内模型,该多个域内模型基于至少基于与多个其他设备交互的多个用户的基于设备的交互来生成,并且每个 多个搜索域中的一个对应于多个域内模型中的一个。 该设备还使用重新排名模型重新排列多个搜索结果,并使用第二排名呈现多个搜索结果。

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