基于LightGBM算法的图书馆文献传递服务发展趋势预测  

Prediction of Development Trends of Library Document Delivery Services Based on LightGBM Algorithm

作　　者：宋智翔 许伟 Song Zhixiang;Xu Wei(Shanghai Library(Institute of Scientific and Technical Information of Shanghai))

机构地区：[1]上海图书馆(上海科学技术情报研究所)

出　　处：《信息与管理研究》2024年第5期55-63,共9页Journal of Information and Management

摘　　要：用户对文献信息的需求持续存在且不断变化。图书馆如何识别用户需求与目标传递文献的关联性以提升图书馆服务效率是当前值得研究的一个问题。为此,提出基于Light GBM算法的图书馆文献传递服务发展趋势预测方法。经具备最佳超参数的Light GBM模型训练后,获取图书馆文献传递服务发展趋势预测结果。实验结果表明,该方法可有效完成采集数据降维处理,提高预测效率,实现图书馆文献传递服务发展趋势的精准预测。The constantly changing demand of users for literature information is a normalized phenomenon.How libraries can determine the correlation between user needs and target literature transmission to improve library service efficiency is currently a problem worthy of research.Therefore,a development trend prediction method of library literature delivery services based on the LightGBM algorithm is proposed.After training the LightGBM model with the best hyperparameters,this study obtained the prediction development trend of library literature delivery services.The experimental results show that this method can effectively reduce the dimensionality of collected data,improve prediction efficiency,and achieve accurate prediction of the development trend of library literature delivery services.

关 键 词：LightGBM算法 图书馆 文献传递服务 趋势预测 

分 类 号：G252.4[文化科学—图书馆学]