Abstract
In the context of big data, readers generate a lot of behavioral trajectory data when using the library. With the support of network and information technology, the library has accumulated a large amount of data. Based on the reader service data of Inner Mongolia University for Nationalities Library, this study carries out statistical analysis on the venue behavior and online behavior of college students, investigates and studies the reading status of college students, and puts forward countermeasures to improve the reading status of students and do a good job in library reader service.
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