Journal of Guangxi Normal University(Natural Science Edition) ›› 2011, Vol. 29 ›› Issue (1): 179-185.

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Design and Implementation of Job Recommendation System for GraduatesBased on Random Walk

WU Di, ZHOU Li-juan, LIN Hong-fei   

  1. Information Retrieval Laboratory,Dalian University of Technology,Dalian Liaoning 116024,China
  • Received:2010-11-10 Published:2018-11-16

Abstract: For dealing with the imperfection of the guidance systems for employment in universities,a job recommendation system is designed anddeveloped in this paper.By comparing the essential features between current and past graduates,the similarity can be calculated according to therelevance between graduates and enterprises.Using random walk algorithm,the index of being employed can be obtained.At last,according to the variables calculated above,the system can recommend suitable jobs for different graduates by putting enterprises in optimal order.Experimental results show that the system fits the purpose of design.

Key words: random walk, PageRank, occupation recommending

CLC Number: 

  • TP391.
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