| 基于用户兴趣的个性化搜索引擎系统 |
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| 引用本文： | 马晓普,梁晶晶,赖国勇.基于用户兴趣的个性化搜索引擎系统[J].攀枝花学院学报,2009,26(3):37-40. |
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| 作者姓名： | 马晓普 梁晶晶 赖国勇 |
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| 作者单位： | 1. 南阳师范学院计算机与信息技术学院,河南南阳,473061
2. 攀枝花学院计算机学院,四川攀枝花,617000 |
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| 摘 要： | 基于关键字匹配的搜索引擎系统无法反映用户的真实兴趣,由此不可避免地导致搜索结果的雷同.因此本文结合神经网络以及用户向系统提交的个性化信息对网络进行训练,从而构造了一个能够实施个性化搜索的实验系统,并给出了实验测试结果.
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| 关 键 词： | 搜索引擎 神经网络 检索模型 |
Personalized Search Engine System Based on User's Interest |
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| Ma Xiao-pu,Liang Jing-jing,Lai Guo-yong.Personalized Search Engine System Based on User's Interest[J].Journal of Panzhihua University,2009,26(3):37-40. |
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| Authors: | Ma Xiao-pu Liang Jing-jing Lai Guo-yong |
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| Institution: | 1 School of Computer and Information Technology;NanYang Normal University;Nan yang 473061;Henan;2 School of Computer PanZhiHua University;Sichuan;617000 |
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| Abstract: | Traditional information retrieval system based on keyword matching can't fully image the user's genuine interest,therefore,results in repletion of identical information.Accordingly,this paper proposes a model for information retrieval based on user's personal information by combining the neural network technology;the search system can return the result pages that adapt to the user's interests.In the end,the experimental results are given. |
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| Keywords: | search engine neural network retrieval model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
