The implementation of algorithm of ranking search result in information system of University library

Authors

DOI:

https://doi.org/10.15587/2312-8372.2015.40856

Keywords:

academic courses, information system, library, learning process, ranking

Abstract

This paper describes the implementation of the algorithm of ranking search results of the user in informational and search system of library. Today, in Ukraine almost no university libraries, that aren’t computerized, at least partially. Libraries offer a range of remote services for their users – e-catalog and specialized e-services. If these services are provided by web means then access to them in most cases is anonymous. Today, libraries have large databases that describe millions of books, magazines and newspapers. If the user does not clearly imagine that he searches, then deal in such large arrays is very difficult. Therefore, in addition to specific features of information system that are used to refine the search query, an important element is the function of governing the presentation of search results - ranking. Implementation of ranking algorithms in the work of library information systems allow users to minimize the time required to find and organize information search based on qualitative criteria. In scientific and technical library of the National University "Lviv Polytechnic" was developed specialized information system that allows you to create a list of books for students. The proposed ranking algorithm was incorporated in the work of the system. In the opinion of users it is greatly improved process for selecting literature for the study of academic disciplines, if literature, recommended by the teacher, doesn’t fit for some reasons

Author Biography

Андрій Ігорович Андрухів, Lviv Polytechnic National University, 12 Bandera street, Lviv, Ukraine, 79013

Assistant

Department of Social Communication and Information Activities

References

  1. Yakovlieva, Yu. V. (2004). Metodyka ranzhuvannia rezultativ poshuku v informatsiino-poshukovykh systemakh bibliotek. Reiestratsiia, zberihannia i obrobky danykh, Vol. 6, 3, 66-73.
  2. Yakovlieva, Yu. V. (2004). Otsinka informatyvnosti dokumentiv u poshukovykh systemakh naukovykh bibliotek. Naukovo-tekhnichna informatsiia, 4, 52-54.
  3. Baharev, A. T., Zuev, A. K., Kamilov, M. M., Medvedev, G. A. et al. (1969). Teoriia i primenenie sluchainogo poiska. Riga: "Zinatne", 309.
  4. Hryhoruk, P. M., Hryhoruk, S. S. (2012). Informatsiina model protsesu pryiniattia rishennia. Aktualni problemy ekonomichnoi kibernetyky. K.: Stylos, 154-171.
  5. Gelbukh, A., Sidorov, G. (2001). Zipf and Heaps Laws’ Coefficients Depend on Language. Computational Linguistics and Intelligent Text Processing. Springer Science + Business Media, 332–335. doi:10.1007/3-540-44686-9_33
  6. Bahle, D., Williams, H. E., Zobel, J. (2002). Efficient phrase querying with an auxiliary index. Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR ’02. Association for Computing Machinery (ACM), 215-221. doi:10.1145/564376.564415
  7. Solton, J. (1979). Dinamicheskie bibliotechno-informatsionnye sistemy. Translation from English. M.: Mir, 557.
  8. Aleshin, L. I. (2001). Avtomatizatsiia v biblioteke. Part 1. M.: Profizdat, 172.
  9. Aleshin, L. I. (2001). Avtomatizatsiia v biblioteke. Part 2. M.: Profizdat, 144.
  10. Zobel, J., Moffat, A., Wilkinson, R., Sacks-Davis, R. (1995, May). Efficient retrieval of partial documents. Information Processing & Management, Vol. 31, № 3, 361–377. doi:10.1016/0306-4573(94)00052-5
  11. Kozima, H. (1993). Text segmentation based on similarity between words. Proceedings of the 31st annual meeting on Association for Computational Linguistics. Association for Computational Linguistics (ACL), 286-288 doi:10.3115/981574.981616
  12. Spysok rekomendovanoi literatury do dystsyplin, shcho vykladaiutsia u Natsionalnomu universyteti "Lvivska politekhnika". Available: http://library.lp.edu.ua/ttp/

Published

2015-04-02

How to Cite

Андрухів, А. І. (2015). The implementation of algorithm of ranking search result in information system of University library. Technology Audit and Production Reserves, 2(2(22), 37–43. https://doi.org/10.15587/2312-8372.2015.40856

Issue

Section

Information Technologies: Original Research