摘要
分析了传统搜索引擎系统的缺点。设计了一种个性化搜索引擎的体系架构,提出了一种改进的向量空间模型。该模型利用非线性加权的思想来处理特征权值的计算。最后,给出了一种基于改进的向量空间模型的个性化搜索算法,能够针对不同用户提供不同的检索结果。实验结果表明,该结构和算法能够有效地提高搜索引擎的性能,满足用户的个性化需求。
According to drawbacks of traditional search engine system, architecture of a personalized search engine system forward is designed firstly, and then an improved vector space model is proposed. The model uses a non-linear term weighting method in detail.Finally, a personalized search algorithm based on the vector space model is presented to provide different search results for different users.The experimental results show that the algorithm can effectively improve the performance of search engine and meet user demand for personalized.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第20期5206-5208,共3页
Computer Engineering and Design
关键词
搜索引擎
信息检索
体系架构
向量空间模型
非线性
加权
个性化
search engine
information retrieval
architecture
vector spacemodel
non-linear
term weighting
personalized
