基于Web挖掘的图书馆个性化服务系统研究

Research on personalized service system of library based on Web mining

文章提出一个兼顾虚拟与物理世界信息服务的图书馆个性化服务系统结构及读者信誉度评估模型,运用Web挖掘技术对图书馆MELINETS系统中大量的Web流通日志记录进行挖掘,构建一种能反映不同用户个体和群体信息使用行为、习惯及其变化特征的动态的读者信誉度评估机制,用以科学地划分读者群,设计了能提供满足读者个性特征和需求的个性化服务功能及其组合,为进一步开发与应用图书馆个性化服务系统提供了技术基础。

This paper presents a personalized service system model of library based on virtual and physical worlds as well as an assessment model of reader＇s credibility.The Web log mining technology is applied in the mining of large amounts of Web circulation log data from MELINETS system in the library in order to build a dynamic mechanism of reader＇s credibility assessment.The mechanism can reflect readers＇ behavior and habits of information use and their changes varying with different individual or group users and scientifically and reasonably divide the readers into groups.A series of personalized services and their combinations which meet the needs and personality characteristics of individuals are designed for the purpose of providing a technical basis to the development and application of personalized service system of library.