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- W4377236624 abstract "The programming map is a tree representation method of the abstract syntax structure of the source code. Recommending the programming map is of great significance for code completion, code recommendation and improving the cognition of code construction. This paper proposes a recall model for programming map nearest neighbor recommendation-PMRM. The model first proposes a programming map node coverage analysis algorithm to shard each node of the programming map and extract the node level coverage information, and then perform semantic clustering of the corresponding level nodes based on the hierarchical information. Replace other nodes in the cluster according to the clustering results, and finally calculate the edit distance of the programming map structure as a measure of similarity, which solves the recommendation problem based on the semantic and hierarchical structure information of programming map nodes. The experimental results show that the recall model PMRM proposed in this paper is better than other methods have obvious advantages." @default.
- W4377236624 created "2023-05-23" @default.
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- W4377236624 date "2022-10-01" @default.
- W4377236624 modified "2023-10-17" @default.
- W4377236624 title "A recall model for programming map nearest neighbor recommendation" @default.
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- W4377236624 doi "https://doi.org/10.1109/mlbdbi58171.2022.00038" @default.
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