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<p>To effectively protect and rationally exploit intangible cultural heritage, it is an issue worthy of deep consideration by experts in related fields nowadays. This paper verifies the optimality of the random forest algorithm for informative voting weighting of ICH and compares learning about accuracy in advance with that of the traditional random forest model. The development mode of implementing communication in formless legacy knowledge with historical characteristics existing various communication structures carriers is analyzed, and the computerized communication of ICH in new media vision is explored and studied. Users mainly learn about ICH through new media channels, accounting for 78.3%, while only 11.3% learn about ICH through traditional media channels. In addition, among the new media channels for the dissemination of ICH, short video platforms are the main source of dissemination, accounting for 67.9%; WeChat platforms and Sina Weibo account for 51.5% and 46.9%, respectively. Therefore, only by implanting the content of ICH culture in the existing material new media carriers and forming a cultural experience of virtual and real integration and interaction can we better promote the display and dissemination of ICH informatization.</p>
</abstract>

To effectively protect and rationally exploit intangible cultural heritage, it is an issue worthy of deep consideration by experts in related fields nowadays. This paper verifies the optimality of the random forest algorithm for informative voting weighting of ICH and compares learning about accuracy in advance with that of the traditional random forest model. The development mode of implementing communication in formless legacy knowledge with historical characteristics existing various communication structures carriers is analyzed, and the computerized communication of ICH in new media vision is explored and studied. Users mainly learn about ICH through new media channels, accounting for 78.3%, while only 11.3% learn about ICH through traditional media channels. In addition, among the new media channels for the dissemination of ICH, short video platforms are the main source of dissemination, accounting for 67.9%; WeChat platforms and Sina Weibo account for 51.5% and 46.9%, respectively. Therefore, only by implanting the content of ICH culture in the existing material new media carriers and forming a cultural experience of virtual and real integration and interaction can we better promote the display and dissemination of ICH informatization.

Information dissemination of intangible cultural heritage based on random forest model

Guilin University of Technology at Nanning

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

To effectively protect and rationally exploit intangible cultural heritage, it is an issue worthy of deep consideration by experts in related fields nowadays....

Information dissemination of intangible cultural heritage based on random forest model

Online veröffentlicht: 24. Juli 2023

Seitenbereich: -

Eingereicht: 20. Jan. 2022

Akzeptiert: 13. Juli 2022

DOI: https://doi.org/10.2478/amns.2023.2.00076

Schlüsselwörter
Random forest model, Intangible cultural heritage, New media technology, Information dissemination strategy

© 2023 Zhaoyan Huang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Information dissemination of intangible cultural heritage based on random forest model

Online veröffentlicht: 24. Juli 2023

Seitenbereich: -

Eingereicht: 20. Jan. 2022

Akzeptiert: 13. Juli 2022

DOI: https://doi.org/10.2478/amns.2023.2.00076

SchlüsselwörterRandom forest model, Intangible cultural heritage, New media technology, Information dissemination strategy

© 2023 Zhaoyan Huang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Random forest model, Intangible cultural heritage, New media technology, Information dissemination strategy