对万维网上同一主题下的大量网页之间进行特定语义关系的分析，并将其应用于搜索引擎中，可以实现智能化的查询和提供其他个性化服务。
The analysis of the semantic relations among large amount of Web pages with the same topic in WWW can realize the intelligent query and provide characteristic services in search engines.
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。
Analyses system structure of personalized meta-search engines and introduces functions of each module in detail. Finally, look forwards its prospect.
在对第二代搜索引擎分析的基础上，运用向量空间模型，设计并实现了一个完整的可学习用户兴趣并可动态调整的个性化搜索引擎。
The 2nd generation of search engine is analyzed and then a personalized search engine based on SVM(vector space model) that can dynamically learn the interests of users is implemented.
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