大数据背景下智慧图书馆用户行为分析

随着人工智能和大数据的迅速发展与日渐普及,用户行为数据的价值逐渐被重视和认可,从而进一步推动了智慧图书馆的发展。为了提高智慧图书馆的智能化和人性化服务,笔者以图书馆用户的历史行为数据为基础,利用数据分析和数据建模技术对用户数据进行整理,挖掘出对用户有价值的信息,制定相应的分类规则,绘制符合用户的用户画像,从而利用数据为用户提供更好的服务,最终提升图书馆的服务能力和质量。

Analysis and Research on User Behavior of Smart Library under Big Data Background

With the rapid development and popularization of AI and big data, the value of user behavior data has been gradually recognized, which further promotes the development of smart library. In order to improve the intelligence and humanization service of library, based on the history data of library users, this paper used data analysis and data modeling technology to organize user data and dig out valuable information for users, formulate corresponding classification rules and draw user profiles that meet users' needs, so as to provide users with better services, and ultimately enhance the service capacity and quality of libraries.