JiLin Engineering Normal University, Changchun, China
The rapid development of big data technology has brought huge challenges to the service innovation of university libraries, but at the same time it has also brought strong technical support, which plays a huge role in improving the service quality of university libraries. The big data analysis technology is a product of the information age widely used in the service system of university libraries, and it effectively improves the service mode and data information management method of university libraries. This article clarifies the new ways of service for university libraries in the era of big data as the basis of research, and innovates the current function transformation and service innovation, and fully researches and analyzes the new modes of university libraries. This thesis develops more personalized services and proposes effective innovation paths through the types of innovative services, creating a quality sharing platform, improving the skill level of librarians, and establishing a cloud service model for big data analysis. The experimental research results show that the big data analysis technology has raised the service form of the library to a new height, and the current situation of students who usually like to go to the library to read, the design can reflect the promotion style of the library, and let the current big data The digital reading method in the era can have a better space for development, and better play its analytical role to guide the whole school students to actively study in the library, and the sharing platform of the university library can effectively integrate big data. Analyze technology and reasonably distribute it with artificial intelligence technology, Internet technology and various front-end development software. The purpose is to enable the platform to get more student support and meet the diverse needs of students themselves, and establish a sharing Another advantage of the platform is that it can improve the current library management methods and improve the service system.
Big Data Analysis Technology, Library Management Service Innovation, Digital Library, Text Classification Algorithm
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