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基于多模态学习的图书馆图书资料关键词自动检索方法

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针对现有图书馆图书资料关键词检索方法存在检索查准率、查全率过低的问题,设计基于多模态学习的图书馆图书资料关键词自动检索方法.利用多模态学习,实现对图书馆图书资料的自动分类;将图书馆图书资料看作空间单元,提取图书馆图书资料关键词;计算图书馆图书资料关键词相似度,将相似度超过阈值的图书馆图书资料展示给用户,输出符合用户预期的检索结果.为了验证文章所提方法的应用可行性,开展对比实验.结果表明,文章所提方法得到的检索结果查准率、查全率相对较高,能够根据用户提供的关键词,为用户提供满足其所需的检索结果.
Keyword Automatic Retrieval Method of Library Books and Materials Based on Multimodal Learning
Aiming at the problems of low accuracy and recall rate of existing keyword retrieval methods of library books and materials,a keyword automatic retrieval method of library books and materials based on multimodal learning is designed.Multimodal learning is used to realize the automatic classification of library books and materials.The library books and materials is regarded as the space unit,and the keywords of the library books and materials are extracted.The keyword similarity of the library books and materials is calculated,and the library books and materials whose similarity exceeds the threshold is displayed to the user,and the search results that meet the user's expectation are output.In order to verify the feasibility of the proposed method,comparative experiment is carried out.The results show that the accuracy and recall rate of the search results obtained by the proposed method are relatively high,which can provide users with search results that meet their needs according to the keywords provided by users.

multimodal learningbook materialsautomatic retrievalkeywordlibrary

杨邦伟

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贵州民族大学,贵州贵阳 550025

多模态学习 图书资料 自动检索 关键词 图书馆

2024

信息与电脑
北京电子控股有限责任公司

信息与电脑

影响因子:1.143
ISSN:1003-9767
年,卷(期):2024.36(4)
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