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现代图书情报技术  2013, Vol. Issue (5): 46-53     https://doi.org/10.11925/infotech.1003-3513.2013.05.06
  知识组织与知识管理 本期目录 | 过刊浏览 | 高级检索 |
一种结合借阅时间特征分析的读者兴趣可视化识别方法
李树青1, 王建强2
1. 南京财经大学信息工程学院 南京 210046;
2. 美国纽约州布法罗大学图书信息研究系 布法罗 14260
A Visualization and Recognition Method of Readers’ Interests with the Analysis of the Characteristics of Borrowing Time
Li Shuqing1, Wang Jianqiang2
1. College of Information Engineering, Nanjing University of Finance & Economics, Nanjing 210046, China;
2. Department of Library and Information Studies, Graduate School of Education, University at Buffalo, The State University of New York, Buffalo 14260, USA
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摘要 利用用户访问中的时间信息可以增强对用户个性化兴趣特征的识别能力。结合图书馆的图书推荐服务,提出利用读者借阅记录中的时间信息来构造读者个性化模式的方法。首先介绍三个基于读者借阅时间特征分析的扩展时间指标,并对读者阅读兴趣程度的识别方法和读者兴趣时序演变趋势可视化设计两方面内容进行详细说明。最后,对相关测试实验及其改进效果进行必要的说明。
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李树青
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关键词 个性化时间分析可视化图书推荐服务    
Abstract:The recognition of the characteristics of users’ personalized interests can be enhanced by utilizing of the information in the users’ accessing time. This paper proposes a method of constructing readers’ personalized profiles with the timing information of readers’ borrowing records in book recommendation service of library. This paper begins with the introduction of three extended time indexes based on the analysis of the characteristics of readers’ borrowing time, meantime, it also discusses the recognition of the degree of readers’ interests, and the visualization of timing evolution trend of readers’ interests. Finally, some related experiments that show the performance improvements are reported.
Key wordsPersonalization    Time analysis    Visualization    Book recommendation service
收稿日期: 2013-04-12      出版日期: 2013-07-03
:  G202  
基金资助:本文系江苏省高校自然科学研究面上资助项目“通用加权XML模型在便携式个性化用户兴趣本体中的表达方法研究”(项目编号:11KJB630001)和国家自然科学基金项目“基于通用加权XML模型的个性化用户兴趣本体研究”(项目编号:71103081)的研究成果之一。
通讯作者: 李树青     E-mail: leeshuqing@163.com
引用本文:   
李树青, 王建强. 一种结合借阅时间特征分析的读者兴趣可视化识别方法[J]. 现代图书情报技术, 2013, (5): 46-53.
Li Shuqing, Wang Jianqiang. A Visualization and Recognition Method of Readers’ Interests with the Analysis of the Characteristics of Borrowing Time. New Technology of Library and Information Service, 2013, (5): 46-53.
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https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2013.05.06      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2013/V/I5/46
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