Machine learned job recommendation

  title={Machine learned job recommendation},
  author={Ioannis K. Paparrizos and Berkant Barla Cambazoglu and Aristides Gionis},
We address the problem of recommending suitable jobs to people who are seeking a new job. We formulate this recommendation problem as a supervised machine learning problem. Our technique exploits all past job transitions as well as the data associated with employees and institutions to predict an employee's next job transition. We train a machine learning model using a large number of job transitions extracted from the publicly available employee profiles in the Web. Experiments show that job… CONTINUE READING
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