关于提高web信息检索系统服务水平的探索

Web information retrieval system on the improvement of service levels to explore

本文意在探索如何提高web信息检索的服务水平,实现让用户高效的获得满意的信息需求。通过研究目前信息检索技术存在的不足和日益增长的个性化信息检索的发展需要,提出把向量空间模型应用于关键词的优化部分,对检索结果的聚类问题进行了深入分析。同时对满足信息个性化需求的检索系统模型也进行了有益的探索。

The paper aims to improve the service of web information retrieval and to meet clients＇ higher demands.By analyzing the deficiency of information retrieval technology and personalized demands of information retrieval,the paper proposes that vector space model should be applied in the optimization of Key words. Meanwhile,the paper has further studied the clustering of retrieval results and retrieval system model which can meet the demands for personal information.