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Research on Personalized Service Strategy of University Library Based on Big Data Mining System

机译：基于大数据挖掘系统的高校图书馆个性化服务策略研究

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摘要

In order to improve the level and efficiency of personalized service of university library, and to meet the personalized needs of college teachers and students for borrowing books, this paper puts forward a novel personalized service strategy of university library based on big data mining system. This strategy is based on big data mining technology, and comprehensively adopts high and new technologies such as association data analysis, clustering data analysis, classification data analysis and so on. The research shows that this strategy can not only really improve the level and efficiency of personalized service of university library, but also meet the personalized needs of college teachers and students to borrow books to a certain extent.
机译：为了提高高校图书馆个性化服务的水平和效率，满足高校师生对借阅图书的个性化需求，提出了一种基于大数据挖掘系统的高校图书馆个性化服务新策略。该策略基于大数据挖掘技术，并全面采用了关联数据分析，聚类数据分析，分类数据分析等高新技术。研究表明，这种策略不仅可以真正提高大学图书馆个性化服务的水平和效率，而且可以在一定程度上满足高校师生个性化借阅图书的需求。

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