Multi-Hop Wireless Network Planning
    2.
    发明申请

    公开(公告)号:US20180332480A1

    公开(公告)日:2018-11-15

    申请号:US15592100

    申请日:2017-05-10

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes accessing a point cloud comprising several points, wherein each point corresponds to a location on a surface of an object located in three-dimensional space; determining whether each point in the point cloud is part of a linear structure, a planar structure, or a volumetric structure; identifying a plurality of point clusters, wherein each point cluster comprises one or more points that are located within a grid segment on a two-dimensional grid derived from the three-dimensional space; determining, for each point cluster, whether the point cluster represents a vertical-linear structure or a portion of a vertical-linear structure; identifying one or more point-cluster pairs, wherein each point-cluster pair includes two point clusters corresponding to one or more vertical-linear structures within a threshold distance in the three-dimensional space; and determining, for each point-cluster pair, whether a line-of-sight exists between each point-cluster in the point-cluster pair.

    Multi-Hop Wireless Network Plannning
    4.
    发明申请

    公开(公告)号:US20200029225A1

    公开(公告)日:2020-01-23

    申请号:US16588770

    申请日:2019-09-30

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes accessing a point cloud comprising a plurality of point-cloud points, each point-cloud point corresponding to a location on a surface of an object located in a region in a three-dimensional space, identifying, from the point cloud, a plurality of point clusters, each point cluster comprising a plurality of point-cloud points located within a grid segment on a two-dimensional grid derived from the three-dimensional space, selecting, for each point cluster, a set of point-cloud points from the plurality of point-cloud points in the point cluster, the set of point-cloud points being selected based on a predetermined threshold number of point-cloud points associated with an acceptable reduction in an error detection rate, and determining, for each point cluster, a structure classification based on the selected set of point-cloud points from the point cluster.

    INFERRING AN INDUSTRY ASSOCIATED WITH A COMPANY BASED ON JOB TITLES OF COMPANY EMPLOYEES
    6.
    发明申请
    INFERRING AN INDUSTRY ASSOCIATED WITH A COMPANY BASED ON JOB TITLES OF COMPANY EMPLOYEES 审中-公开
    根据公司员工的职务发放与公司有关的行业

    公开(公告)号:US20150371277A1

    公开(公告)日:2015-12-24

    申请号:US14309038

    申请日:2014-06-19

    Applicant: Facebook, Inc.

    CPC classification number: G06Q30/0269 G06Q50/01

    Abstract: A social networking system infers an industry associated with a company identified as an employer of a social networking system user. Job titles associated with employees of companies are identified and a value is associated with various companies based on the distributions of job titles of each company's employees. For various industries, an industry value is determined based on the values determined for companies associated with an industry. A company that is not associated with an industry is identified and a value is determined for the company based on a distribution of job titles of the identified company's employees. The social networking system applies a model to the value for the identified company to determine an industry value associated with the identified company, and an industry associated with the determined industry value is associated with the identified company.

    Abstract translation: 社交网络系统推测与被认定为社交网络系统用户的雇主的公司相关联的行业。 确定与公司员工相关的职务,并根据每个公司员工的职称分配,与各种公司相关联的价值。 对于各行业,行业价值是根据与行业相关的公司确定的价值确定的。 确定与行业无关的公司,并根据公司职工的职位分配确定公司的价值。 社交网络系统将识别公司的价值应用于确定与确定的公司相关联的行业价值的价值,与确定的行业价值相关联的行业与确定的公司相关。

    Methods and systems for inferring user attributes in a social networking system
    7.
    发明授权
    Methods and systems for inferring user attributes in a social networking system 有权
    在社交网络系统中推断用户属性的方法和系统

    公开(公告)号:US09183282B2

    公开(公告)日:2015-11-10

    申请号:US13839851

    申请日:2013-03-15

    Applicant: FACEBOOK, INC.

    CPC classification number: G06F17/30702 G06F17/30867 G06N5/022 G06N5/043

    Abstract: A method and system for inferring user attributes in a social networking system. The method includes maintaining a social graph comprising a plurality of nodes and a plurality of edges between the nodes. An unknown, incomplete, or inaccurate user attribute for a user is identified, and a plurality of probability lists are generated using a corresponding plurality of probability algorithms that utilize known user attributes and the social graph. The probability lists include a set of probability entries, each including a prediction value for the unknown, incomplete, or inaccurate user attribute and a confidence score. Using the probability lists and a plurality of weights corresponding to the probability algorithms, an inferred user attribute value is generated and stored. The weights may be adjusted based upon learning the correct value of the unknown, incomplete, or inaccurate user attribute, and search results may be modified to include the user for search queries seeking information about the inferred user attribute.

    Abstract translation: 一种在社交网络系统中推断用户属性的方法和系统。 该方法包括维护包括节点之间的多个节点和多个边缘的社交图。 识别用户的未知的,不完整的或不准确的用户属性,并且使用利用已知用户属性和社交图的对应的多个概率算法来生成多个概率列表。 概率列表包括一组概率条目,每个概率条目包括未知的,不完整的或不准确的用户属性的预测值和置信度分数。 使用概率列表和对应于概率算法的多个权重,生成并存储推断的用户属性值。 可以基于学习未知的,不完整的或不准确的用户属性的正确值来调整权重,并且可以修改搜索结果以包括搜索查询的用户,寻找关于推断的用户属性的信息。

    Multi-hop wireless network plannning

    公开(公告)号:US11019503B2

    公开(公告)日:2021-05-25

    申请号:US16588770

    申请日:2019-09-30

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes accessing a point cloud comprising a plurality of point-cloud points, each point-cloud point corresponding to a location on a surface of an object located in a region in a three-dimensional space, identifying, from the point cloud, a plurality of point clusters, each point cluster comprising a plurality of point-cloud points located within a grid segment on a two-dimensional grid derived from the three-dimensional space, selecting, for each point cluster, a set of point-cloud points from the plurality of point-cloud points in the point cluster, the set of point-cloud points being selected based on a predetermined threshold number of point-cloud points associated with an acceptable reduction in an error detection rate, and determining, for each point cluster, a structure classification based on the selected set of point-cloud points from the point cluster.

    Multi-hop wireless network planning

    公开(公告)号:US10536860B2

    公开(公告)日:2020-01-14

    申请号:US15592100

    申请日:2017-05-10

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes accessing a point cloud comprising several points, wherein each point corresponds to a location on a surface of an object located in three-dimensional space; determining whether each point in the point cloud is part of a linear structure, a planar structure, or a volumetric structure; identifying a plurality of point clusters, wherein each point cluster comprises one or more points that are located within a grid segment on a two-dimensional grid derived from the three-dimensional space; determining, for each point cluster, whether the point cluster represents a vertical-linear structure or a portion of a vertical-linear structure; identifying one or more point-cluster pairs, wherein each point-cluster pair includes two point clusters corresponding to one or more vertical-linear structures within a threshold distance in the three-dimensional space; and determining, for each point-cluster pair, whether a line-of-sight exists between each point-cluster in the point-cluster pair.

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