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2. Curriculum vitae - Wikipedia

   en.wikipedia.org/wiki/Curriculum_vitae

   Example of the type of extensive CV used in academia, in this case 69 pages long. In English, a curriculum vitae (English: / ... ˈ v iː t aɪ,-ˈ w iː t aɪ,-ˈ v aɪ t iː /, [a] [1] [2] [3] Latin for 'course of life', often shortened to CV) is a short written summary of a person's career, qualifications, and education.

3. 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.

4. Résumé parsing - Wikipedia

   en.wikipedia.org/wiki/Résumé_parsing

   These services focus on creating ATS-friendly resumes, execute resume check and screening, and help with all of the preparation and application processes. Some of the AI builders, such as Leap.ai and Skillroads, concentrate on the resume creation while others, like Stella, also offer help with the job hunt itself as they match candidates to ...

5. A lifetime subscription to this AI CV builder is on sale for ...

   www.aol.com/lifetime-subscription-ai-cv-builder...

   A lifetime subscription to the Complete Resoume AI Assistant Resumé Writer is on sale for £32, saving you 77% on list price. Skip to main content. Sign in. Mail. 24/7 Help. For premium support ...

6. Applicant tracking system - Wikipedia

   en.wikipedia.org/wiki/Applicant_tracking_system

   An applicant tracking system has several use cases, including sourcing qualified candidates, posting jobs, parsing resumes, searching and filtering candidate databases, ranking and rating candidates, managing and tracking applicants, scheduling applicant interviews, providing communication support as with automated emails and reminders to ...

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.