摘要
搜索引擎存在很多问题 ,原因在于引擎不能准确地理解用户的查询意图。提出面向查询意图的搜索系统 ,该系统允许用户采用自然语言输入查询要求 ,然后系统展开语义联想 ,理解出用户的真实意图 ,并提交用户确认或修改 ,进而根据确认的真实意图构造查询实例 ,提交到各个Web搜索引擎搜索 ,并将返回结果根据用户意图排序。同时系统还从用户对查询结果的交互中学习理解用户意图的知识。
Being faced to troubles in using current network searcher to get information, which result from these searchers unable to accurately understand the potential query intentions of users, this paper presents an oriented intention query system OIQS which does actively find out some unexpected but useful and rather necessary information for the user. It works effectively in this sense that it permits the user to interactively revise its query vector after modified by system using the semantic reminding algorithms. In such way, users are able to utilize information from multiple sources and discover associations between seemingly disparate elements of information across an almost limitless range of applications.
出处
《计算机应用研究》
CSCD
北大核心
2002年第10期131-133,160,共4页
Application Research of Computers
基金
国家自然科学基金资助项目 (6 0 0 0 30 19)
