Recruitment method and system for remote self-service evaluation
A remote and cloud server technology, applied in office automation, instruments, data processing applications, etc., can solve the problem of consuming a lot of manpower of recruiters, and achieve the effect of reducing invalid actions and repeated work, avoiding personal information leakage, and saving labor costs.
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Embodiment 1
[0048] A preferred embodiment of the present invention provides a recruitment method for remote self-assessment, including the following steps:
[0049] Step 1: The recruiter uploads the enterprise information and recruitment information, as well as supplementary assessment questions to the cloud server on the recruitment terminal, and matches the assessment items of the recruitment information, and the cloud server pushes the enterprise information and recruitment information to the applicant terminal and the assessment terminal for display. Classify and save the test questions according to the test items, and form test papers based on the test items matched by the recruiter and supplementary test questions, and specify the post codes corresponding to the test papers;
[0050] Step 2: Candidates upload their resumes and personal information on the application terminal, check the recruitment information and conduct self-assessment on the evaluation terminal, and answer the ques...
Embodiment 2
[0065] On the basis of Embodiment 1, this embodiment further provides a remote self-assessment recruitment method, which also includes step 6: the cloud server gradually participates in the recruiter's company information and recruitment information, assessment materials and The recruitment results and the personal information of the applicants get the corresponding talent conditions and ability models, and the models are continuously updated and improved according to machine learning algorithms;
[0066] Step 7: The applicants score the corresponding employer credibility on the application side, and the cloud server then uses the recommendation engine, talent conditions and ability models to recommend recruitment information to the applicants based on the employer credibility data.
[0067] Based on the above method, further, a remote self-assessment recruitment system is provided, such as figure 2 As shown, it also includes a recommendation engine connected to the cloud ser...
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