基于查询意图识别的自适应图书分面检索研究  

Self-Adaptive Book Information Faceted Search Based on Query Intent Identification

作　　者：李兵[1] 

机构地区：[1]湖北工业大学图书馆

出　　处：《图书馆学研究》2017年第15期57-64,共8页Research on Library Science

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

摘　　要：图书检索中,不同查询意图下用户对分面体系的需求也差异显著,为适应用户这一需求特点,需要进行自适应图书分面检索系统构建。文章提出了基于查询意图识别的自适应图书分面检索模型,为验证该模型的可行性和效果,以湖北工业大学图书馆的馆藏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,原型系统能够更好地适应用户差异化的分面检索需求,帮助其提高决策效率和效果。In bibliographic retrieval, to meet users＇ different facets needs under different query intent, self- adaptive book information faceted search system should be constructed. To overcome this problem, this paper proposes the method of constructing self-adaptive book information faceted search system based on query intent identification. In order to evaluate the feasibility and effectiveness of this approach, this paper constructs a faceted search prototype system based on collections of Hubei University of Technology Library. Compared with Chaoxing Discovery System, it is can be concluded that the prototype system can better meet users＇ different faceted search needs, and improve the efficiency and effectiveness of decision- making.

关 键 词：查询意图 自适应 分面检索 

分 类 号：G252.7[文化科学—图书馆学]