一种结合借阅时间特征分析的读者兴趣可视化识别方法

A Visualization and Recognition Method of Readers' Interests with the Analysis of the Characteristics of Borrowing Time

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。

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.