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As an important platform for cultural and artistic inheritance and dissemination, museums bear the important responsibility of cultural memory, inheritance, and development. With the arrival of a new round of technological revolution and industrial transformation, the digital construction of museums has become an inevitable trend in the development of the digital age. However, many digital museums nowadays have exhibition designs that are too popular and lack individuality. The article analyzed the characteristics of museum exhibit design and combined big data technology to study personalized recommendation methods for digital museum exhibit art design from a design perspective, in order to provide some reference for promoting the construction of digital museums. The research results showed that after using big data technology, the accuracy of personalized recommendations reached 95.9%.

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Personalized Recommendation of Art Design for Digital Museum Exhibits Based on Big Data

  • 会议论文

  • 发表日期：

    2025年

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  • Xiaoyu Shangguan

摘要

As an important platform for cultural and artistic inheritance and dissemination, museums bear the important responsibility of cultural memory, inheritance, and development. With the arrival of a new round of technological revolution and industrial transformation, the digital construction of museums has become an inevitable trend in the development of the digital age. However, many digital museums nowadays have exhibition designs that are too popular and lack individuality. The article analyzed the characteristics of museum exhibit design and combined big data technology to study personalized recommendation methods for digital museum exhibit art design from a design perspective, in order to provide some reference for promoting the construction of digital museums. The research results showed that after using big data technology, the accuracy of personalized recommendations reached 95.9%.