The Architecture of Distant Competencies Analyzing System for IT Recruitment

Abstract

The methods for evaluating distant the featured character based on one of the methods of machine learning and supervised learning algorithm for linear regression are developed, which sells such training and the level of competency-based algorithm of the analytic hierarchy process (AHP). These approaches and algorithms provide automation of recruitment processes, simplify search of probable candidates for the respective positions according distant learning outcomes. Created training requirements for system, elements of which were own factors of importance. The systematic analysis of the research object in which the system has been designed product targets, its objectives and structure was carried out. Having received the information, software to implement the task, namely, its own framework with built-in programming language PHP, client to work with databases and HeidiSQL MariaDB and designing of patterns MVC were selected. In addition to work with the client often, not the software used technologies such as AngularJS, Typescript, JavaScript, HTML, CSS and Twitter Bootstrap. All their characteristics, advantages and disadvantages have been shown in the work.