| 摘要: |
| 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. |
| 关键词: 网页泛化 用户意图 动态建模 搜索导航 文本挖掘 |
| DOI： |
| 分类号: |
| 基金项目:Supported by the National Natural Science Foundation of China under Grant No.60573090 (国家自然科学基金) |
|
| Dynamically Generalizing Web Pages Based on Users’ Search Intentions |
|
WANG Da-Ling,YU Ge,BAO Yu-Bin,ZHANG Mo,SHEN Zhou
|
| Abstract: |
| 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. |
| Key words: Web page generalizing user’s intention dynamically modeling search navigation text mining |
