摘要
针对个性化搜索的3个关键问题:用户信息搜集,用户信息库的动态更新与个性化检索算法,探索性地提出基于Ajax用户行为跟踪方案,以会话为单位动态更新用户行为信息库策略与加入用户文档的向量空间检索模型,并在此基础上设计和实现个性化搜索引擎实验系统。
There are three steps in building a personalized search engine system collecting users＇ information; refreshing database automatically and realizing personalized retrieval utilizing collected information. For each step, this paper creatively promots method of tracing user behavior based on Ajax, strategy of refreshing action -database by session and personalized retrieval model based on VSM and plusy user document. Finally it describes the design and implementation of whole testing personalized system.
出处
《现代图书情报技术》
CSSCI
北大核心
2007年第1期81-85,共5页
New Technology of Library and Information Service
基金
国家科技条件平台建设项目"农业科学数据共享中心"(项目编号:2005DKA31800)的研究成果之一
