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  2. Applicant tracking system - Wikipedia

    en.wikipedia.org/wiki/Applicant_tracking_system

    An Applicant tracking system has 8 main use cases: Source qualified candidates, Job posting, Parse resumes, Filter and search candidate database, Rank and rate candidates, Manage and track applicants, Schedule applicant interviews, Communication tools like automated emails and reminders to candidates and hiring manager, Reporting and analytics ...

  3. A CEO shares how she spots AI in job applications and how it ...

    www.aol.com/im-ceo-recruitment-company-heres...

    Overall, rather than use AI to complete job applications, I advise candidates to use AI to help identify the key skills and attributes that hiring managers will be looking for.

  4. Résumé - Wikipedia

    en.wikipedia.org/wiki/Résumé

    An example of a résumé with a common format with the name John Doe. 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 ...

  5. Artificial intelligence in hiring - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    AI is commonly utilized in the recruitment process because it can help boost the number of qualified applicants for positions. Companies are able to use AI to target their marketing to applicants who are likely to be good fits for a position. This often involves the use of social media sites advertising tools, which rely on AI.

  6. LibreOffice Calc - Wikipedia

    en.wikipedia.org/wiki/LibreOffice_Calc

    LibreOffice Calc is the spreadsheet component of the LibreOffice software package. [5] [6]After forking from OpenOffice.org in 2010, LibreOffice Calc underwent a massive re-work of external reference handling to fix many defects in formula calculations involving external references, and to boost data caching performance, especially when referencing large data ranges.

  7. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    The main drawback of the evaluation systems so far is that we need a reference summary (for some methods, more than one), to compare automatic summaries with models. This is a hard and expensive task. Much effort has to be made to create corpora of texts and their corresponding summaries.

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