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Per-user accuracy measure for social network based geocoding algorithms

机译:基于社交网络的地理编码算法的每用户准确性度量

摘要

Described is a system for geocoding social networks by minimizing total variation. A set of social media data from a social media platform having users is received. A social network is generated from the set of social media data based on communication between users. A ground truth set of locations is determined for users who make their locations public, and the ground truth set of locations is propagated across the social network to generate a location estimate for each user. A confidence measure for each location estimate is then generated.
机译:描述了一种用于通过最小化总变化来对社交网络进行地理编码的系统。从具有用户的社交媒体平台接收一组社交媒体数据。基于用户之间的通信,从社交媒体数据集生成社交网络。为公开其位置的用户确定位置的地面真实集,并且在社交网络上传播位置的地面真实集,以为每个用户生成位置估计。然后生成每个位置估计的置信度。

著录项

  • 公开/公告号US10726090B1

    专利类型

  • 公开/公告日2020-07-28

    原文格式PDF

  • 申请/专利权人 HRL LABORATORIES LLC;

    申请/专利号US201414539828

  • 发明设计人 RYAN F. COMPTON;DAVID L. ALLEN;

    申请日2014-11-12

  • 分类号G06F16/955;G06F16/22;G06F16/29;H04L12/18;H04L29/08;

  • 国家 US

  • 入库时间 2022-08-21 11:28:34

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