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传统的基于分类和关键词的检索方式难以满足万维网上高质量的检索需求。本文就如何提高万维网信息检索的质量，探讨在检索客户端的处理技术，包括自然语言理解、查询扩展、查询域修整、群集检索以及智能检索代理等。文中还提出了综合运用这些技术的一个万维网信息智能检索系统的原型。
The traditional methods of searching based on categories and keywords are difficult to meet the high-quality retrieval needs on the World Wide Web. This paper discusses how to improve the quality of WWW information retrieval and how to deal with client-side processing, including natural language understanding, query expansion, query domain trimming, cluster retrieval and intelligent retrieval agents. The article also proposed a comprehensive application of these technologies a Web information retrieval system intelligent prototype.