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Abstract Smart library is an important channel to improve the reading ability of college students. It is an important means to cultivate students’ reading interest and cultivate the reading style of the whole people. The wisdom library focuses on wisdom, including service intelligence, management intelligence, and facility intelligence. In the process of promoting smart libraries, big data computing is at an important position, and computer algorithms are the core technology support. Therefore, it is of great significance to combine computer algorithm data mining with computer algorithms to analyze the application of data mining in the personalized recommendation service of university libraries. This paper analyzes the application of computer algorithm and big data mining technology in the personalized recommendation service of smart library, analyzes readers’ reading preferences and behavior habits, and proposes three measures for reference.
Jing Zhang (Tue,) studied this question.