一种个性化智能搜索引擎的研究

Research on Personalized Intelligent Search Engine

通用搜索引擎虽然功能强大,但存在一些缺陷,如索引库更新不及时、响应速度慢等,而且没有对检索结果根据用户的个人需求做过滤处理.针对这些问题,本文主要从用户个性化需求出发对个性化搜索系统进行了研究,阐述了基于全文索引工具包Lucene所研究开发的一种个性化智能搜索引擎系统.首先介绍了系统的结构模型和工作流程,然后对系统各模块的设计做了详细的研究.实验结果表明,在面向用户定制的站点的信息检索服务中,系统的综合性能比通用搜索引擎有所提高.

Although general search engines have strong functions, they have several disadvantages such as not updating index in time, lack of the capability of providing intelligent search and not filtrating the search results according to personal demand. To tackle these problems, the article takes the personal demand into account and describes a personalized intelligent search engine system developing based on Lucene which is a powerful full-text retrieval tools. First the structure model and work flow of system are introduced and then the design of every module is researched in detail. Test result indicates that, while aiming to information retrieval service of the Web site that user customizes, the integrative capability of system has been improved compared to the general search engines.