基于Markov网络的结果重排技术

  本文关键词：基于Markov网络的结果重排技术，由笔耕文化传播整理发布。

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摘要：

信息检索中通过网页链接信息提取文档内部关系进行搜索结果重排可以提升检索系统的性能.通过Markov网络来展现文档内部关系,该网络更直观地解释了文档间的语义相关性,利用这种文档内部语义关系计算文档重要性对检索结果进行重排.根据文档分布特征阐述了Markov文档网络的构造算法,讨论了Top-k及其相关文档的重要性评分算法,修正初始检索的文档评分.通过这种方式,既保持了文档图的查询相关性,又丰富了文档内部关系,扩大了重排序范围.实验表明,在多个标准文档集上基于Markov网络的结果重排技术对检索性能有较大的稳定提升.

关键词： 信息检索   Markov网络   结果重排  

基金：

国家自然科学基金(61201456)

Information Center, Jiangxi University of Science and Technology, Ganzhou 341000,P.R.China   Center of Arts Complex Lab, Jiangxi Science & Technology Normal University, Nanchang 330038 ,P.R.China   Key Lab of Optic-electronic & Communication, Jiangxi Science & Technology Normal University, Nanchang 330038 ,P.R.China  

Abstract：

Keywords：

[1]RIJSBERGEN van.A new theoretical framework for information retrieval[C]//In Proceedings of 1986 ACM Conference on Research and Development in Information Retrieval.Italy:Pisa,1986:194-200.

[2]HE Ben,OUNIS Ladh.Studying Query Expansion Effectiveness[J].Advance in Information Retrieval,2009,5578:611-619.

[3]MA Yunlong,LIN Hongfei,JIN Song.A RevisedSimRank Approach for query expansion[J].Information Retrieval Technology,2010,6458:564-575.

[4]CARPINETO C,ROMANO G.A survey of automatic query expansion in information retrieval[J].Journal of ACM Computing Surveys,2012,44(1):3-6.

[5]CROFT B.A cluster based resampling method for pseudo-relevance feedback[C]//Proceeding s of the 31 st annual international ACM SIGIR conference on Research and development in information retrieval.Singapore:ACM.2008:235-242.

[6]KURLAND O,LEE L.PageRank without hyperlinks:Structural re-ranking using links induced by language models[J].Information Processing and Management,2010,28(4):1-14.

[7]YE Z,HUANG J,LIN H.Incorporating rich features to boost information retrieval performance:A SVM-regression based re-ranking approach[J].Expert Systems with Applications,2011,38 (6):7569-7574.

[8]PAGE L,BRIN S.The PageRank Citation Ranking:Bringing Order to the Web[EB/OL].(2008-12-28)[2013-01-02].,edu:8090/422/.

[9]曹瑛,王明文,陶红亮.基于Markov网络的检索模型[J].山东大学学报:理学版,2006,3 (41):126-130.CAO Ying,WANG Mingwen,TAO Hongliang.Information retrieval model based on Markov Network[J].Journal of Shandong University:Natural Science Edition,2006,3(41):126-130.

[10]左家莉.信息检索中Markov网络图模型研究[D].江西:江西财经大学,2011.ZUO Jiali.The Study of Markov Network Graph Model in Information Retrieval[D].Jiangxi:Jiangxi University of Finance and Economic,2011.

[11]WANG Xuanhui,FANG Hui,ZHAI Chengxiang.A study of methods for negative relevance feedback[C]//Proceeding s of the 31st annual international ACM SIGIR conference on Research and development in information retrieval.Singapore:ACM.2008:219-226.

[12]ROBERTSON S,WAKER S.Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval[EB/OL].(2008-07-12)[2013-02-01].

  本文关键词：基于Markov网络的结果重排技术，由笔耕文化传播整理发布。