Design of Intelligent Recommendation System of Smart Library Under Big Data Environment and Its Application Research in
With the development of society and the progress of the times, the era of big data has gradually become a new stage of development. “Big data” is a collection of data that is difficult to obtain, manage and analyze in a short time under the calculation of
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Abstract. With the development of society and the progress of the times, the era of big data has gradually become a new stage of development. “Big data” is a collection of data that is difficult to obtain, manage and analyze in a short time under the calculation of conventional software. The so-called “big data environment” is a large-scale data integration that can be developed by the support of the current network technology and computer technology. The recommendation system of the smart library is to be established and founded under such an environment. The recommendation system of smart library is designed to provide more beneficial help for the education system of application-oriented universities on the basis of perceiving students’ preference in reading and learning. In the context of big data, the intelligent library recommendation system designed in this paper is to collect data on students’ learning and reading needs with the help of big data. Integrate, process and analyze on the basis of collection, and finally send the results presented after this process to students to form a specialized smart library recommendation system suitable for applied universities. The establishment of this system can better meet the needs of students of applied universities, recommend students to adapt to their unique learning resources, and help the data-driven development of applied universities to be carried out better. Keywords: Big data Smart library design Applied university
Intelligent recommendation system
1 Introduction The idea of the smart library comes from the concept of “smart earth” put forward by IBM President and CEO Samuel J. Palmisano in 2008. The so-called smart library is to introduce big data technology, cloud computing technology and Internet of things technology into the construction of the library. The advantage of this is that it can transform and upgrade traditional libraries with storage as the main function. To build an intelligent analysis and management resource. A new type of library that can effectively share knowledge on a larger level and accurately perceive the needs of readers. The intelligent recommendation system design of the smart library is mainly © The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 M. Tavana et al. (Eds.): IISA 2020, AISC 1304, pp. 628–634, 2021. https://doi.org/10.1007/978-3-030-63784-2_78
Design of Intelligent Recommendation System of Smart Library
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supported by big data,thereby forming a system that can provide readers with personalized reading and learning resources. The completion of this process must first record and predict the readers’ information such as resource requirements, and provide the basis for the data for the next stage. Because of the powerful information collection, data analysis and processing functions of big data,it can help the library to collect huge amounts of information,it can also perform relevant data analysis and process data efficiently. Provide readers with a higher level of intelligent recommend
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