Development of a multi-agent intelligent system for solving problems of classification and ranking of materials on the Internet | Zendy

Vladimir V. Burlutsky | Zendy; Nizam D. Keramov | Zendy; Vladimir A. Baluev | Zendy; Mansur Isaevich Izert | Zendy; Alexander Yakimchuk | Zendy

Open Access

Development of a multi-agent intelligent system for solving problems of classification and ranking of materials on the Internet

Author(s) -

Vladimir V. Burlutsky,

Nizam D. Keramov,

Vladimir A. Baluev,

Mansur Isaevich Izert,

Alexander Yakimchuk

Publication year - 2021

Publication title -

yugra state university bulletin

Language(s) - English

Resource type - Journals

eISSN - 2078-9114

pISSN - 1816-9228

DOI - 10.17816/byusu2020347-52

Subject(s) - computer science , ranking (information retrieval) , the internet , architecture , intelligent agent , intelligent decision support system , thematic map , world wide web , artificial intelligence , art , visual arts , cartography , geography

The article proposes an architectural solution for intelligent information systems based on a multi-agent approach and microservice architecture. An example of using the described solution in the development of an automated intelligent search system that solves the problem of thematic classification and ranking of various sources of information on the Internet is given. The advantages and disadvantages of the developed architectural solution are described.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research