Abstract: The article is devoted to the methods of creating intelligent assistants. An intellectual assistant for interviewing candidates for available vacancies of enterprises is developed. When creating intellectual assistants the model-theoretic approach based on formal representation of precedents of subject areas in the form of partial models is applied. Knowledge about situations is formally represented in the form of fragments of atomic diagrams of algebraic systems. In order to solve the problems of hiring new employees of companies, a software system is developed, designed to conduct automated initial testing of knowledge, skills of candidates, as well as assessment of their competencies. The purpose of the work is to build a module of the intellectual assistant, which performs processing and analysis of the received user's answer, selection of the next question for the candidate and control over the interview process. The created program complex is a link of the developed system, and can also be used in other subject domains and on other platforms. In the work of the intellectual assistant a four-level ontological model of the subject domain is used. The implemented methods of knowledge processing are based on the use of partial models and their ontological homomorphisms. The system provides the possibility of automated identification of knowledge, skills and competencies of candidates, allowing qualified specialists to save effort and time.

Cite: Palchunov D.E. , Zaitsev A.
Automated Methods of Dialog with the User to Conduct an Interview
In compilation 2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM). 2024. – C.2360-2365. – ISBN 979-8-3503-8923-4. DOI: 10.1109/edm61683.2024.10615104 Scopus OpenAlex

Dates:

Published print:	Aug 5, 2024
Published online:	Aug 5, 2024

Identifiers:

Scopus:	2-s2.0-85201977376
OpenAlex:	W4401329774

Citing: Пока нет цитирований

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