Research and Development of “Gathering Green” Digital Cultural and Creative Collection Creative Platform under the Technical Support of Big Data and Advocacy of Rural Revitalization: A Typical Practice Based on Qingdao Coastal Villages

Abstract

Abstract Developing the “Gleaning” digital cultural collection platform can help promote rural culture and revitalization. In this paper, we propose the AdaBoost-SVM algorithm by using the AdaBoost algorithm to strengthen the SVM classifier by changing the input samples’ weights and increasing the misclassified samples’ weights to enhance the training of the misclassified samples. Then, by studying the characteristics of Qinghai coastal villages, we build a digital collection creative research and development platform based on big data technology and explore the digital features of the rural “Qingzhou” cultural creations with the help of the AdaBoost-SVM algorithm. After the access test of different platforms, the access efficiency of the digital collection platform seen in this paper is, on average, 2.80% higher than that of WhaleQuest, 2.14% higher than that of Phantom Core, 1.43% higher than that of one Digital Art, and 0.72% higher than that of Yuan Vision. In terms of the creativity rating of digital collections, the digital collections of this paper’s platform are rated 30.53%, 23.78%, 16.30%, and 6.15% higher than other platforms in order. The digital collection creative platform based on big data can skillfully integrate the special culture of villages into digital cultural and creative collections and help villages give play to their special cultural advantages.