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JOB SEARCH ENGINE FOR RECENT COLLEGE GRADUATES

机译:近期大学毕业生的求职引擎

摘要

A system filters profiles of an online business network as a function of recent college graduates who have recently become employed in first employment positions, and identifies codes associated with the first employment positions. The system filters job listings using the identified codes to identify job listings that are closed and similar to the first employment positions. The system stores the identified job listings that are similar to the first employment positions into a first subset of job listings, and analyzes the job descriptions in the first subset of job listings using a logistic regression to model job listings with predictor variables indicating whether the requirements expressed in the job descriptions—for example, requirements of previous work experience—are likely optional or mandatory. The system stores open job listings classified by the model as likely having optional requirements or mandatory requirements into a second subset of job listings, and displays the second subset of job listings to help recent college graduates with their job search.
机译:系统根据最近就职于第一职业的应届大学毕业生的功能来过滤在线业务网络的资料,并识别与第一职业相关的代码。系统使用识别出的代码过滤工作清单,以识别已关闭且与第一份工作职位相似的工作清单。系统将识别出的与第一份工作职位相似的工作清单存储到工作清单的第一子集中,并使用逻辑回归对工作清单进行建模,以预测变量来建模工作清单,预测变量指示是否需要职位描述中表达的内容(例如,以前的工作经验要求)可能是可选的或强制性的。系统将按模型分类为可能具有可选要求或强制性要求的空缺职位列表存储到职位列表的第二子集中,并显示职位列表的第二子集,以帮助新近大学毕业生寻找工作。

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