Algorithm for finding specialists with unique skills based on a digital footprint

Abstract

In recent years, due to significant changes in the labor market, companies have become more likely to face various problems when searching and selecting candidates. The main reason for these problems is that the existing Internet resources for finding candidates do not allow you to find a specialist with the required set of competencies and fully evaluate his experience, skills, achievements and personal characteristics. As a result, it becomes necessary to create a service for finding exclusive specialists. Most of these specialists do not have a resume in the public domain, are not looking for a job, but are ready to consider interesting offers. As a result, this work is devoted to the study of the possibility of finding specialists with unique competencies on the Internet based on the analysis of their digital footprint. The hypothesis is that it is possible to get a complete profile of a unique specialist if you collect, combine and analyze data from various sources. In the course of this work, the possibilities provided by open data sources on the Internet were analyzed, as well as the scientometric indicators of a specialist and the parameters of his reliability were determined. An algorithm for searching for the required specialists based on these data has been compiled, an automated system implementing this search has been designed, developed and tested.