OPAC系统中面向用户决策的图书信息多源融合  

Multi-Source Fusion of Book Information for User Decision in OPAC System

作　　者：童旺宇[1,2] 

机构地区：[1]武汉理工大学计算机学院 [2]湖北工业大学计算机学院

出　　处：《图书馆工作与研究》2017年第6期93-100,共8页Library Work and Study

基　　金：湖北省高校图工委科研项目"高校移动图书馆服务接受与用户使用行为分析"(项目编号:2015ZJYB02)研究成果之一

摘　　要：受限于数据的稀疏性,OPAC系统中面向用户提供的决策支持服务形同虚设。为解决这一问题,本文在进行用户图书筛选决策需求分析的基础上,提出一种基于多源融合的决策信息资源建设与组织方案,即通过对图书社区、电商网站、社交平台、电子书数据库等信息源数据的采集与融合,为用户决策提供支持。为验证模型的可行性和效果,以2000本文学类图书为例进行了原型系统实现。通过原型系统与某知名OPAC系统的效果对比,可以确认原型系统效果更好,能够大幅改善用户的图书决策支持服务体验。The decision support service for users provided by the OPAC systems is but a empty shell limited by the sparsity of data. To solve the problem, based on the analysis of userg demands of book screening and decision, this paper puts forward a construction and organization scheme of deci- sion information resources based on multi-source fusion, which provides support for user decision by the collection and fusion of information sources data including book communities, e-commerce websites, social platforms, e-book databases, etc. In order to evaluate the feasibility and effectiveness of this mode, it realizes the prototype system by the example of 2000 literature books, and by comparing with a well-known OPAC system, it is can be conclu- ded that prototype system performs better apparently and can substantially improve the users＂ experience of decision support service in library.

关 键 词：OPAC 图书检索 决策支持 多源信息融合 

分 类 号：G253.1[文化科学—图书馆学]