E3S Web of Conferences (Jan 2024)

Andrioid mobile application aimed at getting personalized recommendations when selecting references

  • Gerasimova Marina,
  • Egarmin Pavel,
  • Petrova Irina,
  • Akhmatshin Farid,
  • Mikitchak Sergey

DOI
https://doi.org/10.1051/e3sconf/202453103021
Journal volume & issue
Vol. 531
p. 03021

Abstract

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This article presents the results of the development of a mobile recommendation application to help library readers select references. One of the tasks of a librarian is to provide consultative assistance to the reader in selecting books. Working with a librarian can be replaced by the use of electronic library systems or special programs, which will allow you to solve the same task in less time. At the moment, there are websites and digital libraries that help the user to select books for further reading. They implement various algorithms that allow you to create personalized recommendations. Such systems are designed for electronic reading and are not linked to the databases of municipal library systems. Library readers can obtain recommendations when they choose literature for further reading using a mobile application. The paper considers the process of its creation: analysis of program requirements, design, implementation, testing and implementation. The application is developed for the Android operating system in the integrated development environment Android Studio in the Java programming language. The calculation of the technical and economic indicators of the project in its implementation has shown that the use of the application will provide sufficient economic effect. Its use can simplify the process of selecting books and significantly reduce the time to search for them, thus giving the librarian the opportunity to perform other tasks. The program does not require material costs for installation, which is an obvious advantage, and the functionality and system requirements allow its use on all mobile devices with the Android operating system.