Wenxing Hong, Siting Zheng, and Huan Wang


Dynamic user profile, feature selection, hybrid recommendation,e-recruitment system


In this paper, we propose the dynamic recommendation in e-recruitment system, which is also called the job recommender system. To address the challenge that the job applicants do not update user profiles in a timely manner, we update and extend the user profiles dynamically based on the historical applied jobs and behaviours of job applicants. In particular, the statistical results of basic features in the applied jobs are used to update the job applicants’ profiles. In addition, feature selection is used in the text information of jobs that is applied by the job applicant for extending the feature. Then a hybrid recommendation algorithm is applied according to the characteristics of user profiles to accomplish dynamic recommendation.

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