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    Systems and methods for evaluating content
    3.
    发明授权
    Systems and methods for evaluating content 有权

    公开(公告)号：US10445614B2

    公开(公告)日：2019-10-15

    申请号：US15488480

    申请日：2017-04-16

    Applicant: Facebook, Inc.

    Inventor： Renbin Peng ,  Evgeny V. Kuzyakov ,  Chetan Parag Gupta

    IPC: G06K9/62 ,  G06K9/46 ,  G06K9/00

    Abstract: Systems, methods, and non-transitory computer-readable media can generate a saliency prediction model for identifying salient points of interest that appear during presentation of content items, provide at least one frame of a content item to the saliency prediction model, and obtain information describing at least a first salient point of interest that appears in the at least one frame from the saliency prediction model, wherein the first salient point of interest is predicted to be of interest to one or more users accessing the content item.

    Systems and methods for automated video classification
    6.
    发明授权
    Systems and methods for automated video classification 有权

    公开(公告)号：US11017237B1

    公开(公告)日：2021-05-25

    申请号：US16234457

    申请日：2018-12-27

    Applicant: Facebook, Inc.

    Inventor： Lei Huang ,  Jianyu Wang ,  Guangshuo Liu ,  Renbin Peng ,  Ziheng Wang ,  Di Liu

    IPC: G06K9/00

    Abstract: Systems, methods, and non-transitory computer-readable media can receive a set of video frames associated with a video. Dynamic regions in each video frame of the set of video frames can be filtered out, wherein each dynamic region represents a region in which a threshold level of movement is detected. A determination can be made for each video frame of the set of filtered video frames, whether the video frame comprises synthetic overlaid text based on a machine learning model.

    Systems and methods for automated video classification
    7.
    发明授权
    Systems and methods for automated video classification 有权

    公开(公告)号：US10956746B1

    公开(公告)日：2021-03-23

    申请号：US16234308

    申请日：2018-12-27

    Applicant: Facebook, Inc.

    Inventor： Lei Huang ,  Guangshuo Liu ,  Renbin Peng ,  Ziheng Wang ,  Di Liu ,  Jianyu Wang

    IPC: G06K9/00

    Abstract: Systems, methods, and non-transitory computer-readable media can receive a set of video frames associated with a video. A determination can be made that a first set of consecutive video frames of the set of video frames depicts identical content to a second set of consecutive video frames of the set of video frames, wherein the first set of consecutive video frames and the second set of consecutive video frames satisfy a threshold number of consecutive video frames. The video is identified as a looping video based on the determination that the first set of consecutive video frames depicts identical content to the second set of consecutive video frames.

    SYSTEMS AND METHODS FOR PROVISIONING CONTENT
    9.
    发明申请
    SYSTEMS AND METHODS FOR PROVISIONING CONTENT 有权

    公开(公告)号：US20220092332A1

    公开(公告)日：2022-03-24

    申请号：US17509980

    申请日：2021-10-25

    Applicant: Facebook, Inc.

    Inventor： Evgeny V. Kuzyakov ,  Renbin Peng ,  Chien-Nan Chen

    IPC: G06K9/46 ,  G06T5/00 ,  H04N21/234 ,  G06K9/62 ,  H04N21/81 ,  G06K9/00 ,  G06T3/00

    Abstract: Systems, methods, and non-transitory computer-readable media can provide at least one frame of a content item to a saliency prediction model, the saliency prediction model being trained to identify salient points of interest that appear in content items. Information describing at least a first salient point of interest that appears in the at least one frame can be obtained from the saliency prediction model. The first salient point of interest can be predicted to be of interest to users accessing the content item. A view-based projection can be applied to a region corresponding to the first salient point of interest, wherein the view-based projection enhances a quality in which the region is presented.

    Recommending Users to a Social Networking System User Based on Relevance and Similarity Between Users
    10.
    发明申请
    Recommending Users to a Social Networking System User Based on Relevance and Similarity Between Users 审中-公开
    推荐用户基于用户之间的相关性和相似性的社交网络系统用户

    公开(公告)号：US20160147810A1

    公开(公告)日：2016-05-26

    申请号：US14553639

    申请日：2014-11-25

    Applicant: Facebook, Inc.

    Inventor： Margaret-Ann Julia Seger ,  Rodrigo M. Schmidt ,  Japinder Singh ,  Renbin Peng

    IPC: G06F17/30 ,  H04L29/06

    CPC classification number: H04L65/403 ,  G06F16/9535

    Abstract: A social networking system allows users to establish connections with other users to receive content provided to the social networking system by the other user. The social networking system may recommend an additional user to the user in response to the user establishing a connection with a target user. To recommend an additional user, the social networking system determines a relevance of the additional user to the target user relative to the relevance of other candidate users to the target user. The relevance may be based on a measure of similarity between an additional user and the target user, such as a covariance in the overlap of users connected to both the additional user and to the target user.

    Abstract translation: 社交网络系统允许用户与其他用户建立连接，以接收其他用户提供给社交网络系统的内容。 响应于用户建立与目标用户的连接，社交网络系统可向用户推荐额外的用户。 为了推荐额外的用户，社交网络系统相对于其他候选用户与目标用户的相关性来确定附加用户与目标用户的相关性。 相关性可以基于附加用户和目标用户之间的相似度的度量，例如连接到附加用户和目标用户的用户的重叠中的协方差。

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