Recommendation Algorithm of College Graduates Employment Based on the Sensitivity of Interest
Abstract：The number of college graduates has increased in recent years.The problem of college graduates' employment has attracted more and more attention of scholars and the society.The traditional methods of job recommendtion usually lack of considering and utilizing the historical information of graduates.In this paper, a recommendation algorithm is proposed, which is based on the sensitivity of interest.firstly, the algorithm makes full use of employment data and improves PersonalRank method to calculate the sensitivity of interrest of different enterprises when they recruit graduates.Then, improves similarity calculation method between the graduates and previous graduates.Finally, the job of the similar previous students are recommended to the current user by combineing with the credibility of enterprises.Experimental results show that the algorithm can provide a guidance for the new graduates effectively.
Keywords：recommender systemjob recommendationthe historical informationthe sensitivity of interestsimilarity
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 201-205,253 )