Fu Yuan
ABSTRACT
With the continuous development of Internet technology, more and more companies have begun to use recruitment websites to publish recruitment information, which contains a large number of job requirements and job seeker information. How to efficiently match suitable positions and job seekers from such information has become an important issue faced by enterprises and job seekers. This article will introduce a job information matching data mining technology based on BP neural network, and make corresponding matching by analyzing the direct relationship between job requirements and application requirements. At the same time, in the algorithm research of the matching model, the BP neural network is used to obtain the optimal number of layers and algorithm model through the training of the model, so as to ensure the matching effect.
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