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Based on ML algorithm, this paper puts forward a method that can search instructional resources through keyword indexing technology, and then cluster and recombine the related results and present them centrally. In this paper, the semantic processing of user query based on the subject index of educational resources is adopted to make up for the deficiency of query semantics, solve the problem of mismatch between query words and document words, and improve the recall and precision of resourcedoi:10.1155/2022/2838935 pmid:35855789 pmcid:PMC9288350 fatcat:kvvzlaivvncj5grdpf6gvh4hvq