Green Human Resource Recommendation Algorithm Based on Lifting Tree and Neural Network

Abstract

In recent years, the employment problem is a social problem that needs to be solved urgently. With the rapid development of network technology, the trend of human resources networking is gradually strengthened, and human resources recommendation is facing the problem of information overload. The traditional recommendation algorithm can not better adapt to the information inflation phenomenon in the big data era. The variety of job information makes job seekers easy to fall into information review fatigue, so that they can not identify their job requirements, leading to the need to spend more energy to find the job information that is really suitable for them. Green HRR algorithm based on lifting tree and neural network. This is a new way to find the best employees for any job through artificial intelligence (AI). Artificial intelligence has been applied to many scientific fields, especially computer science. The main goal of this algorithm is to find the best employee for any job through machine learning technology called artificial neural network (ANN). The basic idea of this algorithm is that we can use artificial neural network to predict the future performance of employees and then make corresponding decisions. This process helps us identify the best candidate among all others who apply for a particular position.