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作 者:徐爱芳[1] XU Ai-fang(Zhejiang Institute of Communications,Hangzhou 311112,China)
出 处:《浙江交通职业技术学院学报》2024年第3期71-75,共5页Journal of Zhejiang Institute of Communications
摘 要:基于图书外借数据,分析其与读者阅读偏好的相关性,是图书馆调整服务策略的有效依据。本文以高职院校图书馆读者为研究对象,分析高职院校学生选择中文文学图书阅读的偏好,采用Gephi的FR算法分析大学生对中文文学类图书的阅读名著、阅读偏向、阅读书名三个特性,发现三者存在不同的性别偏差。图书馆可通过优化资源配置、提供个性化推荐服务、营造舒适的阅读环境和开展多样化的阅读活动等多方面的改进措施,更好地满足不同性别读者在中文文学类图书阅读上的需求。Based on the analysis of the correlation between book borrowing reading data and readers reading preferences,it is an effective basis for libraries to adjust their service strategies.This article takes readers of higher vocational college libraries as the research object,analyzes the preferences of higher vocational college students xin reading Chinese literature books,and uses Gephi's FR algorithm to analyze the three characteristics of college students'reading of Chinese literature books,including reading classics,reading bias,and reading book titles.It is found that these three factors have different gender biases.Libraries can improve their resource allocation,provide personalized recommendation services,create a comfortable reading environment,and carry out diversified reading activities to better meet the needs of readers of different genders in reading Chinese literature books.
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