Open AccessRETRACTED: Research on the accurate service and management innovation of University Library Based on the big data of readers’ behavior
Author(s) -
Xin Fu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/750/1/012033
Subject(s) - service (business) , big data , service innovation , consciousness , service science, management and engineering , computer science , world wide web , knowledge management , engineering management , service design , data science , business , engineering , service delivery framework , marketing , psychology , data mining , neuroscience
Nowadays, big data thinking and technology have gradually infiltrated into the daily management and service of university library. The university library should innovate the service concept, cultivate the big data thought consciousness, adopt the mining technology, provide the accurate and personalized service, build the exchange platform, enhance the user experience service, the extensive application of the data resources provides the strong support for the University Library Reader Service Reform and innovation, and provides the new development thought for the reader service innovation and development. This paper studies the challenges faced by the reader service of University Library in the era of big data, and puts forward suggestions to improve the reader service level of university.