MOOC English online learning resource recommendation algorithm based on spectral clustering and matrix decomposition
by Qichao Huang
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 33, No. 4/5, 2023

Abstract: In order to overcome the problems of low recommendation accuracy and long recommendation time in traditional MOOC English online learning resource recommendation algorithm, a new MOOC English online learning resource recommendation algorithm based on spectral clustering and matrix decomposition is proposed. The clustering objective function is constructed by spectral clustering method to complete the clustering of MOOC English online learning resources. Based on the results of resource clustering, the objective matrix, row auxiliary matrix and column auxiliary matrix are constructed. The matrix decomposition method is used to construct the recommended scoring matrix, and the scoring matrix is filled and reduced to complete the recommendation of MOOC English online learning resources. Experimental results show that, compared with the traditional learning resource recommendation, the proposed algorithm has higher clustering accuracy, higher recommendation accuracy and efficiency, and the maximum recommendation time is only 1.1 s.

Online publication date: Wed, 19-Jul-2023

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