Personnel matching model of K-means clustering algorithm based on spark platform
Tao Liu · 2020
In order to improve the efficiency of personnel matching system, this paper proposes a k-means clustering algorithm based on spark platform to complete the personnel matching model; spark platform completes the clustering iterative operation in the memory elastic distributed data set of all nodes in the distributed system to accelerate the clustering speed; the K-means clustering algorithm is used to complete the personnel matching model.The mean clustering algorithm is combined with clustering idea to improve the efficiency of large-scale data clustering. After the clustering results are obtained, the dynamic recommendation algorithm is used to realize the personnel matching model.