Design of personalized recommendation algorithm for mobile intelligent book management system based on cloud computing technology

Abstract

With the continuous maturity of network technology, digital technology has gradually penetrated into many aspects of real life. The concept of digital technology is consistent with the concept of library management. The use of digital technology can realize the connection of library management information value chain. Library management is cumbersome and complex, the number of borrowing continues to increase [1], including a large number of information data, there is an urgent need to develop an effective library information management system. At present, in today's society with the continuous development of economy and the continuous innovation of science and technology, the management procedure of library borrowing information cannot meet people's growing needs. There will also be problems such as improper information processing and less functions, which will eventually affect people's use emotion and borrowing service. Therefore, in order to give readers a more comfortable and convenient borrowing experience and more effectively improve the library workflow, it is particularly important to design and run a library borrowing information management system based on cloud computing. Therefore, this paper studies the design of book query system based on Java, in order to reduce the work intensity of library managers and provide convenience for readers to query books. Using the relevant algorithms of big data technology to classify and sort out book information, provide users with personalized recommendations and improve their use efficiency. It can also make it easier for administrators to manage books and user information and improve the utilization rate of book resources.