Abstract
At present, the amount of information stored in university libraries is increasing, and readers’ needs for information and document types are becoming more and more detailed, personalized and complex. In order to better manage university libraries and provide readers with better services, it is necessary to vigorously develop personalized information services. This is also a service currently being carried out by various university libraries in our country. Based on this, the purpose of this article is to study the application of big data technology in university library management services. This article first summarizes the basic theory of big data, and then extends its core technologies such as data mining. Combining with the current situation of university library management in our country, analyze the existing problems and shortcomings. On this basis, data mining and other technologies are used for application research. This article systematically expounds the composition and design of the library management service system based on data mining and other technologies, and uses comparative analysis and observation methods to study the subject of this article. Experimental research shows that compared with the traditional university library management service system, the university library management service system based on data mining technology studied in this paper is 5.9% higher in the new book recommendation module, 11.4% higher in the resource link module, and course reference book recommendation. The module is 4.8% higher, and the recommended classic book module is 5.8% higher. Fully reflects the feasibility of the subject of this article.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Madhusudhan, M., Singh, V.: Integrated library management systems: comparative analysis of Koha, Libsys, NewGenLib, and Virtua. Electron. Libr. 34(2), 223–249 (2016)
Ming, Z., Xizhu, L.: Theoretical construction of internalization of university library management system—exploratory research based on grounded theory% theoretical construction of internalization of university library management system—exploratory research based on grounded theory. Libr. Inf. Serv. (5), 32–41 (2019)
Wangchun, Y.: Research on the role of big data technology in the construction of university library management system. Sci. Technol. Inf. Dev. Econ. 004(005), 16–19 (2019)
Liu, C., Sheng, M.: Design of library management system. Open Access Libr. J. 05(12), 1–8 (2018)
Dwiyantoro, D.: Evaluasi software aplikasi Senayan Library Management System (SLIMS) di lingkungan Universitas Lancang Kuning Pekanbaru menggunakan pendekatan ISO 9126 usability. Al-Kuttab Jurnal Kajian Perpustakaan informasi dan kearsipan 2(1), 21–31 (2020)
Bwalya, T., Akakandelwa, A.: Challenges of using Koha as a library management system among libraries in higher education institutions in Zambia. Desidoc J. Libr. Inf. Technol. 41(2), 82–87 (2021)
Muhamad, S.S., Darwesh, A.M.: Smart university library management system based on Internet of Things. UHD J. Sci. Technol. 4(2), 63 (2020)
Thiruvengad Am, S., Gokulakrishnan, S.: Library management system using RFID. Int. J. Comput. Appl. 175(10), 31–33 (2020)
Malipatil, N., Roopashree, V., Sanjana Gowda, R.H., Shobha, M.R., Sateesh Kumar, H.C.: RFID based library management system. Int. J. Eng. Sci. Technol. 3(7), 112–115 (2020)
Shanmugam, A., Ramalakshmi, A., Ganeshan, S., et al.: Library management system. Xi’an Jianzhu Keji Daxue Xuebao/J. Xi’an Univ. Archit. Technol. 12(11), 743–753 (2020)
Naveed-e-Sehar, Tariq, H., Burney, S.: Proficient automated library management system (palms): a new model for public libraries of Pakistan. Int. J. Adv. Res. 7(4), 505–522 (2019)
Rehman, H.A., Soomro, A.S., Surahio, F.A., et al.: Implementation of library management system using radio frequency identification technology in Sindh libraries. Int. J. Comput. Sci. Inf. Secur. 14(7), 419–422 (2019)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Zhong, J. (2022). The Application of Big Data Technology in University Library Management Service. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 98 . Springer, Cham. https://doi.org/10.1007/978-3-030-89511-2_36
Download citation
DOI: https://doi.org/10.1007/978-3-030-89511-2_36
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-89510-5
Online ISBN: 978-3-030-89511-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)