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Exploration and Fulfillment of Search Engine in Economic Model Resource Platform Subsystem Based on Lucene Search Engine

In: Liss 2013

Author

Listed:
  • Yuan Liang

    (Beijing Jiaotong University)

  • Dan Chang

    (Beijing Jiaotong University)

  • Yifei Huang

    (Beijing Jiaotong University)

  • Songjie Hu

    (Beijing Jiaotong University)

  • Rongjia Song

    (Beijing Jiaotong University)

  • Di Sun

    (Beijing Jiaotong University)

Abstract

This paper analyses the characteristic of Economic Model Resource Platform and Lucene search engine, a toolkit of full text retrieval, and employ it in the application. The SSH web development framework are designed to develop a search engine subsystems to achieve the classification of the platform model recommended the personalized retrieval functions. Combined weighted TF-IDF algorithm personalized improvement of the Lucene which existing sorting algorithms of the search results, making the building a search engine subsystem close to the user’s actual needs.

Suggested Citation

  • Yuan Liang & Dan Chang & Yifei Huang & Songjie Hu & Rongjia Song & Di Sun, 2015. "Exploration and Fulfillment of Search Engine in Economic Model Resource Platform Subsystem Based on Lucene Search Engine," Springer Books, in: Runtong Zhang & Zhenji Zhang & Kecheng Liu & Juliang Zhang (ed.), Liss 2013, pages 1017-1022, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40660-7_152
    DOI: 10.1007/978-3-642-40660-7_152
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