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Method and system for identifying, tracking, and compensating individuals in job referral chain

机译:用于识别,跟踪和补偿工作转接链中的个人的方法和系统

摘要

A method and system are provided to combine best practices with a new discovery method, incentive structure and tracking system for better results in the referral process, particularly in the domain of employment. Crowdsourcing using a tiered peer-to-peer referral incentive system that encourages higher quality inbound leads combined with data analytics and machine learning techniques of identifying high quality referrers and candidates improve success rates, and leveraging online and offline Social and Professional networks creates a frictionless user experience. Tracking technologies and methods inspired by the online advertising industry across a variety of platforms (desktop/handheld/wearable devices) enable improved crowdsourcing and reward strategies.
机译:提供了一种方法和系统,以将最佳实践与新的发现方法,激励结构和跟踪系统组合,以便在推荐过程中更好地产生,特别是在就业领域中。使用分层对等转诊激励系统的众所周知,鼓励更高质量的入境领先领域结合数据分析和机器学习技术来确定高质量的推荐人和候选人提高成功率,并利用在线和离线社会和专业网络创造无摩擦的用户经验。跟踪技术和方法灵感来自各种平台的在线广告业(台式/手持设备/可穿戴设备),可以提高众包和奖励策略。

著录项

  • 公开/公告号US10943212B2

    专利类型

  • 公开/公告日2021-03-09

    原文格式PDF

  • 申请/专利权人 VINAYAK RANADE;

    申请/专利号US201514707819

  • 发明设计人 VINAYAK RANADE;

    申请日2015-05-08

  • 分类号G06Q10/10;G06Q30/02;G06Q50;

  • 国家 US

  • 入库时间 2024-06-14 21:21:28

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