Research on the Diversified Development of Art Design and Big Data Algorithms in the Digital Age

In the special historical period of Chinese contemporary art design, combined with the trend of cultural diversification, the development of art design under multicultural history and the different nature of art design have attracted the attention of artists from all over the world. This paper used large-scale data algorithms to analyze the development of art design in the digital age. It combined literature analysis, information consultation, field research and various interactive methods with the development of global art and design, as well as the contemporary Chinese art environment, to study the changes and development of contemporary art and design. This paper understood the subtle impact of art design on the lives of people in countries and different fields, and used MapReduce to match sensitive random forest algorithms. The triple parallel design is completed through the basic allocator modeling process, the attribute splitting process and the voting process, which speeds up the modeling efficiency of the algorithm. The results showed that the diversified development of art design is mainly carried out in the design direction, accounting for 65%; hand-painted accounts for 28%; the remaining 7% is the rest of the development direction. It demonstrated the reasons for contemporary art design behavior and its influence on contemporary society, and tried to explore new forms and new directions of Chinese contemporary art design art innovation.