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11th International Conference on Applications and Techniques in Cyber Intelligence, ATCI 2023

作者： Wang, Lichun Yu, Xiangning Jinan Preschool Education College Shandong Jinan250307 China

In the digital age, digital libraries have become an important channel for people to acquire knowledge and information. However, due to the vast amount and diverse types of information in digital libraries, traditional information processing methods are no longer able to meet user needs. This study aims to explore the intelligent information processing technology of digital libraries based on deep learning and propose effective methods. Firstly, it collects a large amount of digital library data, including various types of information such as text and audio. Next, the paper uses deep learning models to train these data and extract useful features and patterns. During the training process, convolutional neural networks (CNNs) are used to improve the accuracy and efficiency of information processing. Through experiments and analysis, it was found that intelligent information processing technology based on deep learning has significant advantages in digital libraries. It can automatically recognize and classify different types of information, extract keywords and topics, and complete tasks such as information summarization and recommendation. In addition, deep learning models can continuously optimize and improve information processing performance through learning and knowledge transfer. © 2024 The Authors. Published by Elsevier B.V.

关键词： Convolutional Neural Network Deep Learning Digital Libraries intelligent information processing technology

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intelligent information processing technology for Digital Libraries Based on Deep Learning

引用

Procedia Computer Science 2024年 247卷 469-476页

作者： Lichun Wang Xiangning Yu Jinan Preschool Education College Jinan 250307 Shandong China

关键词： Deep Learning Digital Libraries intelligent information processing technology Convolutional Neural Network

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