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Markov Graphic Method for Information Retrieval

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Book cover Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7003))

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Abstract

Information retrieval model is central in information retrieval, which have been studied by many researchers. But over the decade, no single retrieval model has proven to be most effective. One of the reasons is the term independent assumption. Research have shown that adding useful information to retrieval model can improve the performance of retrieval model. As graphical model can model information effectively, we use Markov network to construct the term relationship, and model the term relationship and information retrieval model in a unified framework. Experimental results show that our model can improve the retrieval performance.

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Author information

Authors and Affiliations

  1. School of information technology, Jiangxi university of Finance and Economics, Nanchang, 330032, China

    Jiali Zuo

  2. School of advanced Vocation and Technology, Jiangxi Normal University, Nanchang, 330027, China

    Jiali Zuo

  3. School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, 330022, China

    Mingwen Wang

  4. Math and Computer Science Department, Jiangxi Science and Technolocy, Normal University, Nanchang, 330013, China

    Hao Ye

Authors
  1. Jiali Zuo
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  2. Mingwen Wang
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  3. Hao Ye
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Editor information

Editors and Affiliations

  1. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, VIC, Australia

    Hepu Deng

  2. School of Electronics and Information, Tongji University, 201804, Shanghai, China

    Duoqian Miao

  3. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  4. Department of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

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© 2011 Springer-Verlag Berlin Heidelberg

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Zuo, J., Wang, M., Ye, H. (2011). Markov Graphic Method for Information Retrieval. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23887-1_62

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  • DOI: https://doi.org/10.1007/978-3-642-23887-1_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23886-4

  • Online ISBN: 978-3-642-23887-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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