Open AccessResearch on Intelligent Information System of Library under Big Data and Digitization Technology
Author(s) -
Chunyu Wang,
Zhengyu Sha
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2083/4/042063
Subject(s) - digitization , computer science , big data , service (business) , information system , interface (matter) , world wide web , architecture , service system , data science , knowledge management , engineering , data mining , art , economy , bubble , maximum bubble pressure method , parallel computing , electrical engineering , economics , visual arts , computer vision
In the big data environment, we develop personalized information of college libraries based on big data from three aspects: the overall architecture of the system model, the functional model of the system, and the design of system interface modules according to the design principles and requirements of the personalized information service system of the university library Service system design. In terms of the functional design of the platform, the service platform is divided into four levels: accurate identification of user needs based on big data, personalized customized services based on artificial intelligence, academic research and discussion space based on integrated media, and fine-grained subject resource aggregation based on knowledge. On this basis, a centralized model of individualized services of university libraries including internal and external personnel, information resources, technology, services, processes, platforms, and environment has been constructed.