Interpretable analysis of public library service outcomes based on ensemble learning models: Data study from China (2007–2021)

IF 2.4 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Library & Information Science Research Pub Date : 2024-10-01 DOI:10.1016/j.lisr.2024.101330

Qunzhe Ding, Zijian Wang, Mengting He, Qingong Shi

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引用次数: 0

Abstract

Service outcome is a crucial component in the overall evaluation of public library service efficiency. Specifically, identifying and analyzing key factors that influence public library service output precisely can provide a significant theoretical basis for rational library resource allocation planning. Utilizing 15 years of data from the National Bureau of Statistics of China, the research predicted library service outcomes based on resource inputs. To achieve high predictive performance, six ensemble learning models were trained and evaluated, with CatBoost selected for its superior performance. Additionally, SHAP interpretability method was applied alongside CatBoost to offer nuanced insights into the influence of various factors, from both holistic and local perspectives. The research not only provided concrete suggestions for enhancing public library service outcomes but also introduced new approaches for processing and analyzing data in the field of library science.

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基于集合学习模型的公共图书馆服务成果可解释性分析：中国数据研究（2007-2021 年）

服务成果是全面评价公共图书馆服务效率的重要组成部分。具体而言，准确识别和分析影响公共图书馆服务产出的关键因素，可以为图书馆资源的合理配置规划提供重要的理论依据。本研究利用国家统计局 15 年的数据，基于资源投入预测图书馆服务产出。为了实现较高的预测性能，研究人员对六个集合学习模型进行了训练和评估，其中 CatBoost 因其卓越的性能而被选中。此外，在使用 CatBoost 的同时还使用了 SHAP 可解释性方法，从整体和局部的角度对各种因素的影响进行了细致入微的分析。这项研究不仅为提高公共图书馆服务成果提供了具体建议，还为图书馆学领域的数据处理和分析引入了新方法。

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来源期刊

Library & Information Science Research INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

4.60

自引率

6.90%

发文量

期刊介绍： Library & Information Science Research, a cross-disciplinary and refereed journal, focuses on the research process in library and information science as well as research findings and, where applicable, their practical applications and significance. All papers are subject to a double-blind reviewing process.