Volume 17 Number 1 (Jan. 2022)
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JSW 2022 Vol.17(1): 29-35 ISSN: 1796-217X
doi: 10.17706/jsw.17.1.29-35

Intelligent Resume Retrieval Based on Lucence

Jianping Du, Dongping Ma*
Beijing Union University, Beijing, 100101, China.

Abstract—With the development of Internet, the electronic resume has gradually replaced the paper one. It is the basic requirement of recruitment for enterprises to retrieve the talent information that fulfills the requirement quickly and without omission.Based on the framework of SpringBoot and Lucence full-text search engine, this paper implements a resume intelligent filtering algorithm, which improves the query speed of the system by establishing an index database. At the same time,the scoring function improves the accuracy of the filtering results, reduces the pressure of high concurrency of the database, improves the work efficiency of the Human Resources Department, and avoids the talent loss.

Index Terms—Full text search, index, resume, lucence.

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Cite: Jianping Du, Dongping Ma, "Intelligent Resume Retrieval Based on Lucence," Journal of Software vol. 17, no. 1, pp. 29-35, 2022.

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0)

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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