Based on the analysis of the correlation between book borrowing reading data and readers'reading pref-erences,it is an effective basis for libraries to adjust their service strategies.This article takes readers of higher vo-cational 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.
万方数据
维普
