Exploiting the Most Similar Cases Using Decision Tree to Render Recommendation

Due to the current complexity of human resource recommendation methods and the large number of recommended errors, it is difficult to meet the actual requirements of human resource recommendation. Therefore, this paper proposes an intelligent human resource recommendation method based on an improved decision tree algorithm. Firstly, based on the improved decision tree algorithm, classify resources to accelerate learning speed and avoid errors during learning. Secondly, collect human resources data and store the preprocessed human resources data in the human resources data warehouse. Finally, successful implementation of intelligent human resource recommendations. The experimental results are as follows: After using the human resource intelligent recommendation method based on the improved decision tree algorithm, the number of successful hires was higher than the other two methods. Compared with the method proposed in this paper, method 1 reduced 1098 positions, and method 2 reduced 1008 positions. The effectiveness of the human resource intelligent recommendation method based on the improved decision tree algorithm has been demonstrated.

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Exploiting the Most Similar Cases Using Decision Tree to Render Recommendation

Cited by 2 publications

References 8 publications

Identifying Fake Profile in Online Social Network: An Overview and Survey

Identifying Fake Profile in Online Social Network: An Overview and Survey

Human Resource Intelligent Recommendation Method based on Improved Decision Tree Algorithm

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