Library big data analysis and decision support platform based on cloud computing

Abstract

The invention discloses a library big data analysis and decision support platform based on cloud computing. The library big data analysis and decision support platform is characterized by comprising acloud computing data processing system, a reader information acquisition system, a book evaluation system, a reader behavior portrait system and a library decision support system. The reader information acquisition system uploads acquired reader data to the cloud computing data processing system for data analysis. The book review system uploads collected book review data to the cloud computing big data platform, and uploads the reader behavior fitting data preprocessed by the reader behavior portrait system to a cloud computing big data platform. The library decision support system receives reader data information distributed by the cloud computing big data platform. The cloud computing data processing system is used for collecting book review data in a larger range, so that the book review data can be perfected. The decision support can be provided for library collection construction of a library.

Description

technical field [0001] The invention relates to a library big data analysis and decision-making support platform based on cloud computing, which relates to a support platform for analyzing and decision-making of library big data by using cloud computing, and belongs to the technical field of cloud computing. Background technique [0002] At present, the electronic version of books on the Internet is more popular with readers, and the paper version of books in traditional libraries has gradually been neglected. In this case, libraries should strengthen construction and management, and introduce big data services into books. The current library data system can only make the simplest statistics on the basic book collection data or reader data of independent libraries, and cannot provide more accurate data decision support for libraries. [0003] Most of the collection data in the library are on the servers in the library. Once these servers fail, they will not be able to provid...

AI Technical Summary

Problems solved by technology

[0010] Although the above-mentioned patent is written to analyze readers' behavior data, in essence, what it achieves is to prevent users from borrowing and returning books during the peak period of borrowing and returning, and to optimize library services. There is no other data collection, and there is no The book review system, not to mention the inability to make portraits of readers' behavior, is still a single library's basic borrowed books and a data of time relationship,

[0011] The above data can only provide the library with a simple reminder of the flow of people, not even an early warning, let alone optimize the collection of books

Images