Federated search
    1.
    发明授权

    公开(公告)号:US10540365B2

    公开(公告)日:2020-01-21

    申请号:US14503138

    申请日:2014-09-30

    Applicant: Apple Inc.

    Abstract: A method and apparatus that generates a plurality of ranked query results from a query over a plurality of separate search domains. In this embodiment, the device receives the query and determines a plurality of results across the plurality of separate search domains using the query. The device further characterizes the query. In addition, the device ranks the plurality of results based on a score calculated for each of the plurality of results determined by a corresponding search domain and the query characterization, where the query characterization indicates a query type.

    FEDERATED SEARCH
    2.
    发明申请
    FEDERATED SEARCH 审中-公开
    联合搜索

    公开(公告)号:US20150347543A1

    公开(公告)日:2015-12-03

    申请号:US14503138

    申请日:2014-09-30

    Applicant: Apple Inc.

    Abstract: A method and apparatus that generates a plurality of ranked query results from a query over a plurality of separate search domains. In this embodiment, the device receives the query and determines a plurality of results across the plurality of separate search domains using the query. The device further characterizes the query. In addition, the device ranks the plurality of results based on a score calculated for each of the plurality of results determined by a corresponding search domain and the query characterization, where the query characterization indicates a query type.

    Abstract translation: 一种方法和装置,其通过多个单独的搜索域从查询生成多个排名的查询结果。 在该实施例中,设备接收查询并使用该查询确定跨多个单独搜索域的多个结果。 该设备进一步表征查询。 另外,设备基于由对应的搜索域和查询表征确定的多个结果中的每个结果计算的分数来排列多个结果,其中查询表征指示查询类型。

    Converting natural language input to structured queries

    公开(公告)号:US10691685B2

    公开(公告)日:2020-06-23

    申请号:US15721705

    申请日:2017-09-29

    Applicant: Apple Inc.

    Abstract: The subject technology provides for converting natural language input to structured queries. The subject technology receives a user input query in a natural language format. The subject technology determines scores for candidate entities derived from the user input query. The subject technology selects an entity with a highest score among the candidate entities, and converts, using a context-free grammar, the user input query to a structured query based at least in part on the selected entity. The subject technology classifies the structured query to an expected answer type, the expected answer type corresponding to a type of an expected answer of the structured query. The subject technology queries a database based on the expected answer type and the structured query, the database including information corresponding to a knowledge graph. The subject technology provides, for display, an answer to the user input query based on a result of querying the database.

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