摘要
P2P系统中,各种文本文档是很重要的共享资源,而传统的信息检索技术无法在此复杂系统中获得良好的效果.通过对隐含语义索引的分析,提出了语义双重查询扩展(SDQE)的方法,它利用各个peer上文档集提供的隐式反馈,通过比较查询的上下文信息,发现用户的隐含偏好,从而找出最符合用户查询需求的文档.实验证明,SDQE是可行的,并能有效地提高P2P系统中文本检索性能.
Text document is a kind of important shared resource in P2P system. Conventional information retrieval technology does not perform well in such complex system. This paper suggested a novel query optimization scheme, Semantic Dual Query Expansion （SDQE）, based on Latent Semantic Indexing （LSI） technology. By comparing the context information supplied by implicit feedback from document collections on different peers, SDQE tries to find out user＇s hidden preference and retrieve the documents that most meet the searching requirement. The experiment data prove that SDQE is feasible and effective to improve the retrieval performance in P2P system.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2005年第10期1706-1710,共5页
Journal of Shanghai Jiaotong University
关键词
查询优化
语义双重查询扩展
隐含语义索引
P2P系统
query optimization
semantic dual query expansion （SDQE）
latent semantic indexing （LSI）
P2P system
