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    • 2. 发明申请
    • GRAPHICAL KEYBOARD APPLICATION WITH INTEGRATED SEARCH
    • 集成搜索的图形键盘应用程序
    • WO2017184212A1
    • 2017-10-26
    • PCT/US2016/068387
    • 2016-12-22
    • GOOGLE INC.
    • LUIPOLD, Heather
    • G06F17/30
    • G06F3/04886G06F3/0482G06F3/04842G06F3/04883G06F16/2455G06F16/24578G06F16/248G06F16/252G06F16/90324G06F16/90328G06F16/951H04L67/10H04L67/34
    • A computing device is described that includes a processor a memory storing at least a keyboard application, and a presence-sensitive display. The one or more processors execute the keyboard application to output a graphical keyboard including a plurality of keys and a search element, receive an indication of a selection of the search element, and, responsive to receiving the indication of the selection of the search element, output, within the graphical keyboard, a query suggestion region including one or more suggested search queries. The keyboard application may also determine, based on an indication of a user input detected by the computing device, a search query, invoke, based on the search query, a search, responsive to invoking the search, receive search results, and output, in place of at least a portion of the plurality of keys, a graphical indication of at least a portion of the search results.
    • 描述了一种计算设备,其包括处理器,至少存储键盘应用的存储器以及存在敏感显示器。 一个或多个处理器执行键盘应用程序以输出包括多个键和搜索元素的图形键盘,接收对搜索元素的选择的指示,并且响应于接收到对搜索元素的选择的指示, 在图形键盘内输出包括一个或多个建议搜索查询的查询建议区域。 键盘应用程序还可以基于由计算设备检测到的用户输入的指示来确定搜索查询,基于搜索查询来调用搜索,响应于调用搜索,接收搜索结果以及输出 放置多个键的至少一部分,搜索结果的至少一部分的图形指示。
    • 4. 发明申请
    • QUERY CLASSIFICATION FOR APPROPRIATENESS
    • WO2017213843A1
    • 2017-12-14
    • PCT/US2017/034102
    • 2017-05-24
    • MICROSOFT TECHNOLOGY LICENSING, LLC
    • SANTOS, Jose Carlos AlmeidaARNOLD, Paul DavidROPER, Ward FarquharGUPTA, Parth
    • G06F17/30
    • G06N3/08G06F16/285G06F16/90324G06F16/9535
    • Non-limiting examples of the present disclosure describe query classification to identify appropriateness of a query. A query may be received by at least one processing device. A deep neural network (DNN) model may be applied to evaluate the query. A vector representation may be generated for query based on application of the DNN model, where the DNN model is trained to classify queries according to a plurality of categories of appropriateness. The DNN model may be utilized to classify the query in a category of appropriateness based on analysis of the vector representation. In one example, auto-complete suggestions for the query may be filtered based on the classification of the category of appropriateness. In another example, classification of the query may be provided to an entry point. In yet another example, a response to the query is managed based on the classification of the query. Other examples are also described.
    • 本公开的非限制性示例描述查询分类以识别查询的适当性。 查询可以由至少一个处理设备接收。 可以应用深度神经网络(DNN)模型来评估查询。 可以基于DNN模型的应用生成用于查询的向量表示,其中DNN模型被训练为根据多个适当类别对查询进行分类。 可以使用DNN模型来基于对矢量表示的分析将查询分类为适当的类别。 在一个示例中,可以基于适当类别的分类过滤针对查询的自动完成建议。 在另一个例子中,查询的分类可以被提供给入口点。 在又一个示例中,基于查询的分类来管理对查询的响应。 还介绍了其他示例。