摘要
搜索引擎给信息检索带来很大的帮助,但是信息的查准率和个性化却很难保证,针对这些问题,提出了一种基于元搜索引擎的个性化信息检索系统.采用Agent技术构建系统,利用用户知识库建立和更新用户模型,对检索结果的向量空间模型算法结合用户知识库进行了改进.实验表明:系统对于查准率有一定的提高,可以满足用户的个性化需求.
Search engine played an important role in information retrieval,but it was difficult to ensure information precision rate and personalization.To solve these problems,proposed a personalized information retrieval system based on the meta search engine.It used multi-Agent technology to build system,adopt user knowledge database to create and update user models.It improved the vector space model algorithm with user knowledge base.Experiment results showed that system had a substantial increase in the precision rate and could meet the user personalized demand.
出处
《北京服装学院学报（自然科学版）》
CAS
北大核心
2010年第1期40-44,64,共6页
Journal of Beijing Institute of Fashion Technology：Natural Science Edition
