| 基于Web的个性化搜索引擎的研究 |
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| 引用本文： | 羊晶璟,鞠时光,王秀红. 基于Web的个性化搜索引擎的研究[J]. 计算机工程与设计, 2008, 29(20) |
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| 作者姓名： | 羊晶璟 鞠时光 王秀红 |
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| 作者单位： | 1. 江苏大学计算机科学与通信工程学院,江苏镇江,212013
2. 江苏大学理学院,江苏镇江,212013 |
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| 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.
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| 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 |
Research of individuation search engine based on web |
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| YANG Jing-jing,JU Shi-guang,WANG Xiu-hong. Research of individuation search engine based on web[J]. Computer Engineering and Design, 2008, 29(20) |
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| Authors: | YANG Jing-jing JU Shi-guang WANG Xiu-hong |
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| Affiliation: | YANG Jing-jing1,JU Shi-guang1,WANG Xiu-hong2(1.College of Computer Science Telecommunication Engineering,Jiangsu University,Zhenjiang 212013,China,2.College of Faculty of Science,China) |
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| Abstract: | 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 ... |
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| Keywords: | search engine information retrieval architecture vector space model non-linear term weighting personalized |
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