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THE RESEARCH OF VERTICAL SEARCH ENGINE FOR AGRICULTURE

  • Weiying Li
  • Yan Zhao
  • Bo Liu
  • Qiang Li
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 294)

Abstract

Following rapid expansion of huge Agriculture information body on the Web, the efficient Agriculture information gathering on specified top becomes more and more important in search engine research. Through the statement of the developing trend of search engine and sharing agriculture information resource, this paper discusses the necessity of building search engine for agriculture information. The author clarifies the working principles of professional search engine for agriculture and finally analyses the improvement of searching technique of agriculture and proposes a model for agriculture - focused search.

Keywords

Search Engine Word List Focus Search Precision Ratio Traditional Information Retrieval 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Chen H. Machine learning for information retrieval: neural networks, symbolic learning, and genetic algorithms [J].J. Am. Soc. Inf Sci. 1995.46(3): 194–216CrossRefGoogle Scholar
  2. WANG Zheng, WANG Qing, WANG Ding-wei.Design of Domain-specific Search Model for Meta-search Engine on Internet, JOURNAL OF SYSTEM SIMULATION, 2008, 20(5)Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.College of Information Science and Technology, Agriculture University of HeBeiHeBeiChina

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