APPARATUS AND METHOD FOR DETECTING PROXIMATE DEVICES
    2.
    发明申请
    APPARATUS AND METHOD FOR DETECTING PROXIMATE DEVICES 有权
    用于检测临时设备的装置和方法

    公开(公告)号:US20130309972A1

    公开(公告)日:2013-11-21

    申请号:US13476693

    申请日:2012-05-21

    Abstract: An apparatus, method, and computer program product are described that provide for a user to share content with other users who are proximate to his or her device in a simple and intuitive manner. In some embodiments, a “wave” gesture is used to identify users of devices that nearby to the source user's device with whom the source user may communicate, such as to share content. Upon receiving a first orientation input, a scanning mode may be initiated during which one or more devices proximate the apparatus are determined. A second orientation input that is different from the first orientation input, and the scanning mode may be terminated in response. As a result, a communication with at least one selected device of the one or more devices determined to be proximate the apparatus may be facilitated.

    Abstract translation: 描述了一种设备,方法和计算机程序产品,其提供用户以简单和直观的方式与其设备附近的其他用户共享内容。 在一些实施例中,使用“波形”手势来识别附近的源用户与源用户可以与之通信的设备的用户,例如共享内容。 在接收到第一定向输入时,可以启动扫描模式,在该模式期间确定靠近设备的一个或多个设备。 与第一定向输入不同的第二定向输入,并且扫描模式可以作为响应终止。 结果,可以促进与被确定为接近设备的一个或多个设备中的至少一个选定设备的通信。

    Semantic matching and retrieval method and apparatus and non-transitory computer-readable medium

    公开(公告)号:US12197479B2

    公开(公告)日:2025-01-14

    申请号:US18390496

    申请日:2023-12-20

    Abstract: Disclosed are a semantic matching and retrieval method and apparatus. The semantic matching and retrieval method includes steps of obtaining both the vector representation of a query text and the vector representation of a document text; obtaining the final vector representation of the query text; obtaining the final vector representation of the document text; calculating, based on the final vector representation of the query text and the final vector representation of the document text, the similarity score between the query text and the document text; and selecting, based on the similarity scores between the query text and a plurality of document texts, a document text matching the query text from the plurality of document texts.

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