图书情报工作 ›› 2018, Vol. 62 ›› Issue (7): 47-53.DOI: 10.13266/j.issn.0252-3116.2018.07.006

• 工作研究 • 上一篇    下一篇

基于“全评价”理论的高校图书馆热门TOP图书推荐模型研究

刘丽帆1, 朱紫阳2   

  1. 1. 南京信息工程大学经济管理学院 南京 210044;
    2. 南京信息工程大学图书馆 南京 210044
  • 收稿日期:2017-10-16 修回日期:2018-01-15 出版日期:2018-04-05 发布日期:2018-04-05
  • 通讯作者: 朱紫阳(ORCID:0000-0002-9347-7785),副研究馆员,硕士,通讯作者,E-mail:zhuziyang@nuist.edu.cn。
  • 作者简介:刘丽帆(ORCID:0000-0003-0336-0805),本科。
  • 基金资助:
    本文系2016年度江苏省大学生实践创新训练计划立项项目"国内高校文学类热门借阅图书全评价体系研究"(项目编号:201610300108)研究成果之一。

Research on the Recommendation Model of Academic Libraries' Hot TOP Books Based on the All-around Evaluation Theory

Liu Lifan1, Zhu Ziyang2   

  1. 1. School of Economics and Management, Nanjing University of Information Science and Technology, Nanjing 210044;
    2. Library of Nanjing University of Information Science and Technology, Nanjing 210044
  • Received:2017-10-16 Revised:2018-01-15 Online:2018-04-05 Published:2018-04-05

摘要: [目的/意义]构建适合大学生阅读的热门TOP图书推荐模型,为高校图书馆阅读推广提供参考。[方法/过程]通过整理、分析和挖掘国内89所高校图书馆的OPAC图书检索的数据信息,运用“全评价”理论体系,将层次分析法与决策树模型相结合,对高校学生的阅读倾向进行分析和评价。[结果/结论]经过预测与评价分析,证明该模型合理、准确且具有重要的现实意义。

关键词: 热门TOP图书, 图书评价, “全评价”理论体系, 阅读推广, AHP, 决策树

Abstract: [Purpose/significance] This paper tries to build a recommendation model of hot TOP books for college students and provides a reference for the academic libraries' reading promotion. [Method/process] Based on the collation, analysis and mining of the retrieval data from 89 domestic university libraries' OPAC, this article analyses and evaluates the reading tendency of academic students by means of the all-around evaluation theory system and the combination of AHP and decision tree model. [Result/conclusion] The paper, through prediction and evaluation, finally proves that the model is reasonable and accurate, and has important practical significance.

Key words: hot TOP books, book evaluation, all-around evaluation system, reading promotion, AHP, decision tree

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