摘要
由于内容角度的分面构建中对用户认知习惯的考虑不足,同时支持用户决策的分面比较缺乏,因而图书馆OPAC系统分面检索的用户体验并不理想。面向这一问题,文章提出了基于豆瓣图书信息资源整合的分面构建思路。为验证该思路的可行性和效果,以文学类图书为例进行了原型系统实现。从与超星发现系统的对比看,原型系统能够让用户以其更熟悉的方式进行检索结果的探索,并且能够帮助其提高决策效率和效果。
For lack of consideration of users＇ cognitive habits in construction of facets about content and deficiency of decision support facets, users＇ experience of library OPAC facet retrieval system is unfavorable. To overcome this problem, this paper proposes the method of constructing facets based on integration of Douban book information resources. In order to evaluate the feasibility and effectiveness of this approach, this paper constructs a faceted search prototype system for literature books. Compared with Chaoxing Discovery System, it can be concluded that the prototype system can help users explore results in a more familiar way, and improve the efficiency and effectiveness of decision making.
出处
《图书馆学研究》
CSSCI
2016年第24期47-54,共8页
Research on Library Science
基金
许昌学院教研项目"媒体融合背景下高校图书馆服务模式研究"(项目编号:02015123)的成果之一
关键词
OPAC
分面检索
信息资源整合
OPAC faceted retrieval information resource integration
