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  2. Résumé parsing - Wikipedia

    en.wikipedia.org/wiki/Résumé_parsing

    Once the resume has been analyzed, a recruiter can search the database for keywords and phrases and get a list of relevant candidates. Many parsers support semantic search , which adds context to the search terms and tries to understand intent in order to make the results more reliable and comprehensive.

  3. Job analysis - Wikipedia

    en.wikipedia.org/wiki/Job_analysis

    The measure of a sound job analysis is a valid task list. This list contains the functional or duty areas of a position, the related tasks, and the basic training recommendations. Subject matter experts (incumbents) and supervisors for the position being analyzed need to validate this final list in order to validate the job analysis. [3]

  4. Competency-based recruitment - Wikipedia

    en.wikipedia.org/wiki/Competency-based_recruitment

    Job observation: observe people already in the job and ask them to describe what they do etc. Incumbent interviews: conduct interviews with people already in the job, asking each individual the same set of questions. The questions should be based on their key responsibilities, problems they need to solve/ difficulties they face, skills they ...

  5. Résumé - Wikipedia

    en.wikipedia.org/wiki/Résumé

    A résumé or resume (or alternatively resumé), [a] [1] is a document created and used by a person to present their background, skills, and accomplishments. Résumés can be used for a variety of reasons, but most often are used to secure new jobs, whether in the same organization or another.

  6. Recruitment - Wikipedia

    en.wikipedia.org/wiki/Recruitment

    Attending job fairs, especially at secondary and post-secondary schools, is another method of recruiting external candidates. [30] An employee referral program is a system where existing employees recommend prospective candidates for the job offered, and usually, if the suggested candidate is hired, the employee receives a cash bonus. [32]

  7. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.

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