Open AccessIntelligent Resume Retrieval Based on Lucence
Author(s) -
Jinyan Du,
Ding Ma
Publication year - 2022
Publication title -
journal of software
Language(s) - English
Resource type - Journals
ISSN - 1796-217X
DOI - 10.17706/jsw.17.1.29-35
Subject(s) - computer science , search engine , function (biology) , concurrency , the internet , information retrieval , index (typography) , data mining , database , world wide web , distributed computing , evolutionary biology , biology
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.