Artificial Intelligence Retrieval System Based on Computer Big Data Technology

Authors

  • Honghua Yu Jilin University, Changchun, 130000, China

DOI:

https://doi.org/10.12694/scpe.v25i4.2920

Keywords:

Artificial intelligence, Automatic retrieval, Intentional identification, Semantic similarity calculation

Abstract

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.

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Published

2024-06-16

Issue

Section

Special Issue - Graph Powered Big Aerospace Data Processing