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

Yuan Liang (), Dan Chang (), Yifei Huang (), Songjie Hu (), Rongjia Song () and Di Sun ()
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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

A chapter in LISS 2013, 2015, pp 1017-1022 from Springer

Abstract: 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.

Keywords: Lucene; SSH; Search engine; TF-IDF sorting algorithm (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40660-7_152

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DOI: 10.1007/978-3-642-40660-7_152

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