Interactive Media Design Method in Digital Exhibition of Art Museum Based on Big Data

Abstract

With the development of science and technology, digital exhibition is widely used in art museums. Interactive media is favored by exhibition designers because of its unique nature. However, there are still some defects in the interactive media design of digital exhibition in Art Museum. There are also many researches on Interactive Media Design in the digital exhibition of art museum based on big data, but the actual results are poor. Starting from the characteristics of interactive media, this paper explores the digital exhibition mode in line with the art museum, studies its design method and process, and uses the collaborative filtering recommendation algorithm to recommend the exhibits of the digital exhibition of the art museum to visitors, so as to improve the experience of visitors participating in the exhibition of the art museum. The survey results show that the majority of visitors to the art museum are aged between 35 and 55, and there are more local visitors than foreign visitors. We hope to use big data technology to design a digital art museum exhibition with interactive media characteristics, so as to improve the public’s sense of visiting experience.