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<p>This paper realizes the digital analysis, display, and sharing of urban culture by constructing a digital platform of cultural resources in Lingnan and collecting and indexing its cultural resources. Through collaborative filtering, a recommendation algorithm is used to focus on dance resources and analyze Lingnan water culture through the red dance function. The realization process takes the user information recommendation function as an example, and its overall process is resource loading and data acquisition, user relevance calculation, user information recommendation calculation, data collection, and writing into the database. The results show that among the 14 red dance works, such as “The Golden Hairpin”, “Brothers,” and “The Yellow River”, 10 works and 11 works have incorporated the elements of the water culture of Lingnan Province into their music and costumes, respectively. From 9 times used in the first edition of the competition to 24 times in the fourth edition, it shows that the red dances pay more and more attention to the integration of the water culture elements of Lingnan. The number of South Anhui water culture elements used in the first session (P=0.038) was significantly smaller than that in the fourth session (P=0.03). Gradually, the utilization of both outstanding works (from 0.658 to 0.902) and rookie works increased from the first to the fourth session. The content of the integration of Lingnan water culture into red dance should be expanded in the future, and only about 35% of the students had a supportive attitude, which should be continued in the future.</p>
</abstract>

This paper realizes the digital analysis, display, and sharing of urban culture by constructing a digital platform of cultural resources in Lingnan and collecting and indexing its cultural resources. Through collaborative filtering, a recommendation algorithm is used to focus on dance resources and analyze Lingnan water culture through the red dance function. The realization process takes the user information recommendation function as an example, and its overall process is resource loading and data acquisition, user relevance calculation, user information recommendation calculation, data collection, and writing into the database. The results show that among the 14 red dance works, such as “The Golden Hairpin”, “Brothers,” and “The Yellow River”, 10 works and 11 works have incorporated the elements of the water culture of Lingnan Province into their music and costumes, respectively. From 9 times used in the first edition of the competition to 24 times in the fourth edition, it shows that the red dances pay more and more attention to the integration of the water culture elements of Lingnan. The number of South Anhui water culture elements used in the first session (P=0.038) was significantly smaller than that in the fourth session (P=0.03). Gradually, the utilization of both outstanding works (from 0.658 to 0.902) and rookie works increased from the first to the fourth session. The content of the integration of Lingnan water culture into red dance should be expanded in the future, and only about 35% of the students had a supportive attitude, which should be continued in the future.

The Integration of Lingnan Water Culture in Red Dance Art in the Context of Big Data

Applied Mathematics and Nonlinear Sciences

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

This paper realizes the digital analysis, display, and sharing of urban culture by constructing a digital platform of cultural resources in Lingnan and...

The Integration of Lingnan Water Culture in Red Dance Art in the Context of Big Data

Publié en ligne: 02 juil. 2024

Pages: -

Reçu: 02 mars 2024

Accepté: 20 mai 2024

DOI: https://doi.org/10.2478/amns-2024-1559

Mots clés
Digitization platform, Collaborative filtering, Big data analysis, Lingnan water culture

© 2024 Si Qiu., published by Sciendo

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

The Integration of Lingnan Water Culture in Red Dance Art in the Context of Big Data

Publié en ligne: 02 juil. 2024

Pages: -

Reçu: 02 mars 2024

Accepté: 20 mai 2024

DOI: https://doi.org/10.2478/amns-2024-1559

Mots clésDigitization platform, Collaborative filtering, Big data analysis, Lingnan water culture

© 2024 Si Qiu., published by Sciendo

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

Mots clés
Digitization platform, Collaborative filtering, Big data analysis, Lingnan water culture