Design of Intelligent Recommendation System of Smart Library Under Big Data Environment and Its Application Research in Applied University

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.