【24h】

What Is My Next Job: Predicting the Company Size and Position in Career Changes

机译:我的下一份工作是:预测职业变更中的公司规模和职位

获取原文
获取原文并翻译 | 示例

摘要

Job mobility is common in modern society, especially in the industry of information and communication technology. Job mobility prediction is valuable both for employees and employers. For the sake of lacking appropriate and sufficient records of job mobility, the traditional methods meet a significant challenge in job mobility prediction. Fortunately, the emerging professional social network provides a large amount of users' career histories, which can alleviate this problem. In this paper, we collect relevant data from LinkedIn, and analyze the temporal and spatial characteristics to model the job mobility pattern. We propose an approach to predict the company size and position for the next job by using various features, such as the position, duration, and size of previous companies, education degree, etc. The experimental results verify the proposed approach with the accuracy up to 72% and 74% in terms of next company size prediction and next position prediction respectively.
机译:工作流动性在现代社会中很普遍,尤其是在信息和通信技术行业中。工作流动性预测对于雇员和雇主而言都是有价值的。由于缺乏适当和充分的工作流动性记录,传统方法在工作流动性预测中遇到了重大挑战。幸运的是,新兴的专业社交网络提供了大量用户的职业经历,可以缓解这一问题。在本文中,我们从LinkedIn收集了相关数据,并分析了时空特征以对工作流动模式进行建模。我们提出了一种通过利用各种功能来预测下一份工作的公司规模和职位的方法,例如先前公司的职位,期限和规模,受教育程度等。实验结果证明了该方法的准确性高达在下一个公司规模预测和下一个职位预测方面分别为72%和74%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号