SYSTEMS AND METHODS OF STRUCTURING REVIEWS WITH AUTO-GENERATED TAGS
    1.
    发明申请
    SYSTEMS AND METHODS OF STRUCTURING REVIEWS WITH AUTO-GENERATED TAGS 审中-公开
    自动生成标签结构评估的系统和方法

    公开(公告)号:US20160253684A1

    公开(公告)日:2016-09-01

    申请号:US14633227

    申请日:2015-02-27

    Applicant: Google Inc.

    CPC classification number: G06Q30/0201 G06Q30/02 G06Q30/0278

    Abstract: Systems and methods of structures reviews through auto-generated tags are provided that include providing, with a computing device having an input device and a display device, a user interface to receive a review for an object from a reviewer, selecting a set of tags from an object tag collection stored in a database communicatively coupled to the computing device according to the object and the reviewer, displaying, by the display device of the computing device, the selected set of tags on a display, receiving an input, by the input device, to remove one or more of the displayed tags, and storing, by a storage device, the remaining tags of the set of tags that are submitted according to the received input for the object.

    Abstract translation: 提供了通过自动生成的标签进行结构审查的系统和方法,包括提供具有输入设备和显示设备的计算设备,用于从审阅者接收对象的评论的用户界面,从 存储在根据对象和审阅者通信地耦合到计算设备的数据库中的对象标签集合,通过计算设备的显示设备在显示器上显示所选择的一组标签,由输入设备接收输入 去除一个或多个所显示的标签,并且由存储设备存储根据所接收的对象的输入而提交的一组标签的剩余标签。

    User Modelling by Domain Adaptation
    2.
    发明申请
    User Modelling by Domain Adaptation 审中-公开
    用户建模域适应

    公开(公告)号:US20160132783A1

    公开(公告)日:2016-05-12

    申请号:US14614671

    申请日:2015-02-05

    Applicant: Google Inc.

    CPC classification number: G06N7/005 G06F16/337

    Abstract: A system and method of determining sets of related terms in a target domain based on a probability of co-occurrence in a source domain user model and a target domain user model of a same user, creating an adapted user model for a first user based on the sets of related terms, and merging the adapted user model with a target domain user model for the first user to form a merged user model for the first user.

    Abstract translation: 一种基于在同一用户的源域用户模型和目标域用户模型中同现的概率来确定目标域中的相关项的集合的系统和方法,其基于以下方式为第一用户创建适配的用户模型: 所述相关术语集合,以及将所述适配用户模型与所述第一用户的目标域用户模型合并,以形成所述第一用户的合并用户模型。

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