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Personalization of Job Circular Announcement to Applicants Using Decision Tree Classification Algorithm

机译：使用决策树分类算法对申请人的职权宣布的个性化

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摘要

While looking for jobs, job seekers like to register themselves in different job portal that has a huge number of job circulars. As from all the job circulars, it is easier to look for the job of their liking. At the same time, these job portals gather some information on the jobseekers that they use to apply to different jobs. Whenever a new job circular is posted in the portal, it is advertised to the job seekers through email notification. To make the email notification more personalized and relevant to the job seekers, a decision tree algorithm is implemented. This decision tree makes the decision of which job circular should be advertised to which job seekers based on the job seeker's field of interest, expected salary and experience. This helps jobseekers relate to the notification and be more engaged in the job portal.
机译：在寻找工作的同时，求职者喜欢在不同的工作门户网站上注册，这些门户网站有很多工作通函。从所有的工作通函那样，更容易寻找他们喜欢的工作。与此同时，这些作业门户网站会收集他们用于适用于不同工作的求职者的一些信息。每当新的作业通知在门户中发布，它通过电子邮件通知向求职者宣传。为了使电子邮件通知更加个性化和与求职者相关的，实现了决策树算法。这一决策树使得根据求职者的利益领域的求职者来说，这决定树是应该向哪位求职者宣传，预计的薪酬和经验。这有助于求职者与通知有关，并更从事作业门户。

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