基于目前对用户搜索意图的分类,进一步分析了每种用户意图的信息需求,提出了基于用户搜索意图的Web网页动态泛化模型,为搜索的Web网页动态地建立文档片段、关键词、导航类型、文档格式之间的概念层次,通过网页内容、类型和格式的泛化为不同的访问意图提供进一步的搜索导航,从而返回与搜索意图更相关的结果.与相关工作对比,重点并非获取用户意图,也不是对用户意图分类,而是基于用户搜索意图的Web网页动态泛化模型的建立及Web网页泛化过程的实现.实验结果表明,该泛化模型不仅能够通过导航自动获取用户搜索意图,而且能够基于该意图提供相关搜索结果以及进一步的搜索导航.
In this paper, based on the classification of search intentions, required information for every intention is further analyzed, and a dynamic model of generalizing Web pages based on the intentions is proposed, which dynamically creates a concept hierarchy concerning snippets,Keywords,navigation types, and document formats for searched Web pages, and provides further retrieval navigations for different intentions by generalizing content, format and type of the pages, to return more relevant results to the intentions. Comparing with related work, this paper does not focus on users’ intentions themselves, but on the creation of generalization models based on users’ intentions and implementation for Web pages generalizing. Experimental results show that the generalization model can automatically acquire users’ search intentions under navigation, and provide relevant results and further navigation based on the intentions.