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中文信息检索中多索引策略融合的研究
引用本文:孙育华,韩中元,韩咏,李军. 中文信息检索中多索引策略融合的研究[J]. 黑龙江工程学院学报, 2009, 23(4): 44-46
作者姓名:孙育华  韩中元  韩咏  李军
作者单位:黑龙江工程学院计算机科学与技术系,黑龙江,哈尔滨,150050;哈尔滨工业大学计算机科学与技术系,黑龙江,哈尔滨,150001;黑龙江工程学院计算机科学与技术系,黑龙江,哈尔滨,150050
基金项目:国家自然科学基金项目,黑龙江省教育厅科学技术项目 
摘    要:索引策略是中文信息检索系统中重要的研究内容之一。对基于字、词和二元文法的索引策略进行研究,分析各自的特点,进行性能对比,在此基础上提出将词的索引策略与二元文法索引策略进行线性融合。应用2-泊松模型的BM25公式在TREC公开数据集上进行测试。实验表明,融合后的索引策略在主要性能评测参数平均精确率、R-精确率参数上相对较优。

关 键 词:中文信息检索  索引策略  多索引策略融合

The research on combination of mutil-strategy for Chinese information retrieval
SUN Yu-hua,HAN Zhong-yuan,HAN Yong,LI Jun. The research on combination of mutil-strategy for Chinese information retrieval[J]. Journal of Heilongjiang Institute of Technology, 2009, 23(4): 44-46
Authors:SUN Yu-hua  HAN Zhong-yuan  HAN Yong  LI Jun
Affiliation:1. Department of Computer Science and Technology, Heilongjiang Institute of Technology, Harbin 150050, China; 2. School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China)
Abstract:The indexing strategy is one of the important parts of the Chinese information retrieval(IR). This paper focuses on the indexing strategy based on character, word and bigram, analyses the characters of each, compares their performance, and then proposes to linear combination the indexing strategies based on word and bigram. In this paper, the BM25 formula of 2-Possion Model is used as retrieval model and the TREC Mandarin corpus is used as data. Experimental results show that the inosculated indexing strategy is better on MAP and R-precision.
Keywords:Chinese information retrieval  indexing strategy  combination of mufti-strategy
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