摘要
随着Internet的广泛应用,越来越多的信息以电子化方式存放在网上,但是信息获取手段的提高并没有满足信息增长的需要,导致了"信息过载"和"资源迷向"现象。虽然有许多信息检索和过滤工具被开发出来,然而,传统的搜索引擎信息服务系统没有有效的手段理解用户准确的信息需求,缺乏智能和个性。针对利用现有的搜索引擎进行信息检索的过程中存在的查准率低和用户无法跟踪网页信息变化的缺点,提出面向用户的个性化信息检索服务理念,在客户端建立基于关键词表的用户个性化信息检索模型,通过用户个性化信息检索模型内部各功能模块之间的通信协作达到面向用户的个性化主动信息检索服务。
With the Broad application of Internet,more and more information is left on Internet as an Electronic resource, while the means of information acquisition is faraway from the demand of information increase, thus＂Rich data＂ and＂Poor information＂ happened. Although many tools for information retrieval and information filtering have been developed, they are short of Personalization and intelligence, and cannot capture user＇s information demand exactly. In view of the situation that existing search engines cannot follow up the change of web Page and their low Precision in information retrieval, the dissertation suggests An idea of Personalized information retrieval service,and establish a user model for Personalized information retrieval based on user Partialness keyword list on client server, which can Supply Personalized information retrieval service for user With the communications and collaboration of all modules of it.
出处
《计算技术与自动化》
2008年第3期120-124,共5页
Computing Technology and Automation
