| 基于遗传算法的专业元搜索引擎 |
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| 引用本文： | 赵大明,鱼滨.基于遗传算法的专业元搜索引擎[J].计算机工程,2009,35(21):192-194. |
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| 作者姓名： | 赵大明 鱼滨 |
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| 作者单位： | 1. 西北大学信息科学与技术学院,西安,710127
2. 西安电子科技大学计算机学院,西安,710071 |
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| 基金项目： | 国家自然科学基金资助项日 |
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| 摘 要： | 元搜索引擎返回的查询结果来自独立搜索引擎，要评价此类结果的专业相关性，必须挖掘其位置信息以外的其他信息。研究并实现面向培训领域的元搜索引擎，在充分挖掘网页文本信息的基础上，提取专业网页样本特征，结合遗传算法给出网页专业相关度算法。实验结果表明，该引擎具有较高的专业信息筛选和排序能力。
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| 关 键 词： | 元搜索引擎 专业搜索引擎 遗传算法 相关度模型 |
| 修稿时间： | |
Professional Meta-search Engine Based on Genetic Algorithm |
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| ZHAO Da-ming,YU Bin.Professional Meta-search Engine Based on Genetic Algorithm[J].Computer Engineering,2009,35(21):192-194. |
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| Authors: | ZHAO Da-ming YU Bin |
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| Affiliation: | (1. College of Information Science and Technology, Northwest University, Xi’an 710127; 2. College of Computer, Xidian University, Xi’an 710071) |
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| Abstract: | The query result returned by meta-search engine is from the independent search engine. To evaluate the professional relevance of these results, it must exploit more information than the location information. This paper studies and realizes a training field oriented meta-search engine. It fully mines the file information of Web page, extracts swatch characteristics of professional Web page and gives professional relevance degree algorithm for Web page. Experimental results show that this engine has high ability of professional information filtration and taxis. |
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| Keywords: | meta-search engine professional search engine Genetic Algorithm(GA) relevance degree model |
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