| 一种基于Lucene的搜索推荐词生成方法 |
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| 引用本文： | 吴佩韦,李昌华. 一种基于Lucene的搜索推荐词生成方法[J]. 数字社区&智能家居, 2009, 5(4): 2612-2613,2624 |
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| 作者姓名： | 吴佩韦 李昌华 |
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| 作者单位： | 西安建筑科技大学信息与控制工程学院,陕西西安710055 |
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| 摘 要： | 针对当前搜索引擎返回大量与用户请求无关结果的问题，提出一种新的生成相关搜索词的方法。该方法是基于开源搜索工具包Lucene的．通过对文档内容的切分和筛选找出概念词，再通过TF—IDF方法计算概念词的同现率，最后通过连续性Hopfield神经网络建立概念集，从而获得概念词的相关词推荐。
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| 关 键 词： | 中文搜索引擎 相关词 概念词 同现率 概念集 |
A Generation Method for Related Search Term Based on Lucene |
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| WU Pei-wei,LI Chang-hua. A Generation Method for Related Search Term Based on Lucene[J]. Digital Community & Smart Home, 2009, 5(4): 2612-2613,2624 |
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| Authors: | WU Pei-wei LI Chang-hua |
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| Affiliation: | (School of Information and control, Xi＇an University of Architecture and Technology, Xi＇an 710055, China) |
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| Abstract: | A new generation of term method is proposed for the current search engine problem that is return a large number of user requests has nothing to do with the outcome. The method is based on the Lucene open source search toolkit. First, it is find the term form segment and filter the document. Second, calculate the concurrence probability by the method of TF-IDF. Finally, set up the concept of set by the Hopfield neural network. |
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| Keywords: | chinese search engine related words the concept of the word concurrence probability the concept of set |
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