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    OPTION EMPHASIZATION FOR CALL-TO-ACTION INTERFACES
    11.
    发明申请
    OPTION EMPHASIZATION FOR CALL-TO-ACTION INTERFACES 审中-公开

    公开(公告)号：US20180373402A1

    公开(公告)日：2018-12-27

    申请号：US15635005

    申请日：2017-06-27

    Applicant: Facebook, Inc.

    Inventor： Yaron Fidler ,  Ching-Chih Weng ,  Jiayan Jiang

    IPC: G06F3/0482 ,  G06N99/00

    Abstract: The present disclosure describes techniques for configuring a call-to-action (CTA) interface for a particular user of a social networking system (SNS) by emphasizing an option included with the CTA interface based on a machine learning system. The machine learning system may be used to determine to emphasize a first user-selectable option instead of a second user-selectable option (sometimes referred to as an emphasization determination). The emphasization determination may indicate a prediction of an intent of a user to select the first user-selectable option (e.g., an intent for the user to register an account with the SNS or to login to an account of the SNS). Based on the emphasization determination, an interface (e.g., a graphical user interface) may be configured to emphasize the first user-selectable option, and the interface may be sent to a user device for presentation to the user.

    AUTOMATING IMPLEMENTATION OF TAXONOMIES
    12.
    发明申请
    AUTOMATING IMPLEMENTATION OF TAXONOMIES 审中-公开

    公开(公告)号：US20180365326A1

    公开(公告)日：2018-12-20

    申请号：US15624452

    申请日：2017-06-15

    Applicant: Facebook, Inc.

    Inventor： Jiayan Jiang ,  Yaron Fidler ,  Ching-Chih Weng ,  Emily Klebanoff ,  Philip Hui Li ,  Aniruddha Ramakant Kortikar

    IPC: G06F17/30

    Abstract: The present disclosure relates generally to taxonomies. More particularly, techniques are described for receiving a taxonomy as input, automatically generating data structures representing the taxonomy, determining content that is relevant to different concepts of the taxonomy, and generating an interface that enables users to access and navigate through the taxonomy-related content. The taxonomy specification may specify a taxonomy for a domain including various concepts related to the domain and hierarchical relationships between the concepts. Based on the taxonomy specification, a taxonomy structure may be generated for the taxonomy, the taxonomy structure including multiple taxonomy nodes corresponding to the multiple concepts. Content stored by a social networking system (SNS) may be searched to identify content relevant to each taxonomy node. Using relevant content identified, multiple web pages may be built with for the multiple taxonomy nodes in the taxonomy structure.

    Blending Search Results on Online Social Networks
    16.
    发明申请
    Blending Search Results on Online Social Networks 有权
    在线社交网络中搜索结果的混合

    公开(公告)号：US20160042067A1

    公开(公告)日：2016-02-11

    申请号：US14454826

    申请日：2014-08-08

    Applicant: Facebook, Inc.

    Inventor： Ching-Chih Weng ,  Alessandro Presta ,  Chun-Yang Chen ,  Po-Lung Chen

    IPC: G06F17/30

    CPC classification number: G06F17/30864 ,  G06Q50/01

    Abstract: In one embodiment, a method includes receiving a search query from a user of an online social network and searching multiple verticals to identify multiple sets of objects in each vertical, respectively, that match the search query, and wherein each vertical stores one or more objects associated with the online social network. The method also includes ranking, for each set of identified objects from a vertical, each identified object in the set of identified objects. The method further includes blending the multiple sets of identified objects from each vertical to form a set of blended search results that includes a threshold number of identified objects, the blending including an iterative process performed at least the threshold number of iterations. Each iteration of the iterative blending process includes determining a blender score for each top-ranked identified object in each set of identified objects.

    Abstract translation: 在一个实施例中，一种方法包括从在线社交网络的用户接收搜索查询，并且搜索多个垂直以分别识别与搜索查询匹配的每个垂直中的多个对象集合，并且其中每个垂直存储一个或多个对象 与在线社交网络相关联。 该方法还包括对来自垂直的每组识别对象的排列，在所识别的对象集合中的每个识别的对象。 该方法还包括将来自每个垂直的多组识别对象混合以形成一组混合搜索结果，其包括阈值数目的已识别对象，所述混合包括至少执行阈值迭代次数的迭代过程。 迭代混合过程的每次迭代包括确定每组识别对象中每个排名最高的识别对象的混合器分数。

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