ARTIFICIAL INTELLIGENCE RETRIEVAL SYSTEM BASED ON COMPUTER BIG DATA TECHNOLOGY

被引:0
|
作者
YU H. [1 ]
机构
[1] Jilin University, Changchun
来源
Scalable Computing | 2024年 / 25卷 / 04期
关键词
Artificial intelligence; Automatic retrieval; Intentional identification; Semantic similarity calculation;
D O I
10.12694/scpe.v25i4.2920
中图分类号
学科分类号
摘要
In order to achieve automatic retrieval of library literature, the author proposes a robot retrieval method based on intention recognition for library literature automatic retrieval. Firstly, propose a robot retrieval approach; Then, the keywords of the user’s question are automatically extracted, and the intention of the user’s question is identified. Finally, combined with intention recognition, the semantic similarity between the intention recognition literature and the search literature is calculated. The latest results indicate that: The accuracy of keyword automatic extraction based on KL and TF-IDF for each sentence keyword is 98.3%, indicating that this extraction method performs better. The retrieval accuracy of the automatic retrieval robot reaches 98%, indicating that this method can accurately achieve accurate retrieval of user intentions and candidate literature. © (2024), SCPE.
引用
收藏
页码:2628 / 2635
页数:7
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