摘要
Internet上信息资源的飞速膨胀造成用户在进行信息检索时的不便,传统的搜索引擎不能很好地解决这个问题。因此提出了一种基于聚类的个性化元搜索引擎模型,系统通过对用户建立个人模型,对此模型进行聚类形成不同用户群,并对检索到的结果进行聚类处理,同用户模型聚类相结合返回给用户个性化的搜索结果。分析了个性化元搜索引擎的系统构成,详细介绍了每个模块的功能,最后展望了它的发展前景。
It＇s difficult for users to search information because of the rapid expanding of information resource in Intemet. Traditional search engines can＇t deal with that very well. So presents a personalized meta- search engine model based on clustering. This system constructs a personalized model for every user in order to form different custom crowd, and together with the clustering analysis of the searching results. The model can make search engine return more personalized searching results for users. Analyses system structure of personalized meta- search engines and introduces functions of each module in detail. Finally, look forwards its prospect.
出处
《计算机技术与发展》
2007年第4期186-188,共3页
Computer Technology and Development
基金
安徽省自然科学基金项目(0504200208)
安徽省教育厅自然科学研究项目(2005kj053)
关键词
元搜索引擎
聚类
个性化模型
meta- search engine
clustering
personalized model
