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- Title
基于词向量的 npm 包推荐标签方法.
- Authors
孙 凯; 刘宣彤; 张 莉; 刘华虓; 王 禹; 郜山权
- Abstract
Aiming at the problem of the imperfect tagging mechanism in the open source npm (node package manager) community, we proposed a method to automatically recommend tags for open source third-party library npm packages. Firstly, according to the association relationship between existing tags in the npm community, the tags were clustered and a tag library was established while solving the problem of tag synonyms. Secondly, the word vector technology was used to calculate the semantic correlation degree between the Readme document of the npm package and the tags in the tag library. Finally, the tags were sorted according to the degree of correlation to generate a tag recommendation list and complete the tag recommendation. The experimental results show that this method can effectively recommend tags for npm packages, and the accuracy rate of Recall@3 is 49.1%, Recall@5 is 56.3%, and Recall@10 is 66.9%.
- Subjects
COMMUNITIES; PROBLEM solving; SYNONYMS
- Publication
Journal of Jilin University (Science Edition) / Jilin Daxue Xuebao (Lixue Ban), 2022, Vol 60, Issue 5, p1097
- ISSN
1671-5489
- Publication type
Article
- DOI
10.13413/j.cnki.jdxblxb.2021222