candidate-selection

There are 8 repositories under candidate-selection topic.

  • candidate-selection-tutorial-sigir2017/candidate-selection-tutorial

    SIGIR 2017 Candidate Selection Tutorial (http://sigir.org/sigir2017/program/tutorials/#candidate)

    Language:Python14304

  • kmdn/combining-linking-techniques

    Combining Linking Techniques (CLiT) is an entity linking combination and execution framework, allowing for the seamless integration of EL systems and result exploitation for the sake of system reusability, result reproducibility, analysis and continuous improvement. (We hate waste. Especially wasting time. So let's reuse instead!)

    Language:Python73181

  • sandyaveas/ResumeShortListing

    Practise project on MVC Core, with Resume Analysis or Resume Screening

    Language:JavaScript1100

  • scribani/linkeable

    Simple web application that will ease the process of selecting the correct candidate for your available position

    Language:JavaScript1100

  • Venoli/Asips-for-Pulsar-Astronomy

    'Asips' is a Research conducted for automating the pulsar star candidate selection process. This is the API of Asips which can be used by anyone. This implementation uses the HTRU2 dataset.

    Language:Python1102

  • amatur/CRISPR-nRef-gRNA-Design

    Language:Shell0300

  • GouriRajesh/CareerBook

    CareerBook is a platform that provides service to candidates applying to jobs as well as the companies looking for new candidates. The candidate profile has multiple options of creating a resume, applying to jobs at a click of the button, taking up mock aptitude tests and can also sending queries to the companies. The business profile on the other hand can post new jobs and the selection of candidates has been made fully automatic to save valuable time and remove any sort of discrimination. When a candidate is selected or rejected, they receive a confirmation email regarding the same to remove any space for misinformation.

    Language:Java0100

  • shuddha2021/stellar-candidate-selector

    A sophisticated candidate selection algorithm leveraging multi-criteria analysis and machine learning to identify top software engineering candidates. This tool features flexible filtering, score adjustment, and detailed visualizations to streamline the recruitment process.

    Language:Python20