Design of Film and Television Personalized Recommendation System Based on Artificial Intelligence Technology

Authors

  • Rongkai Zhang College of humanities, Tiangong University, Tianjin 300387, China
  • Yanjun Lin College of humanities, Tiangong University, Tianjin 300387, China
  • Jinming Zhang School of Information and Communication Engineering, Communication University of China, Beijing 100024, China
  • Min Liu School of Communication, Yanching Institute of Technology, Langfang 065000, Hebei, China

Abstract

With the continuous development of artificial intelligence (AI), high-tech-based industries are being transformed. As an art based on scientific and technological innovation, film is also being offered opportunities as well as facing new challenges. At the same time, intelligent system engineering is also applied in all aspects of life. This paper introduces the background of recommendation system design. This paper reports on the academic research conducted on two key elements of film and television: personalized recommendation system (PRS) and AI technology, and then summarizes them in combination with intelligent system engineering. After establishing the algorithm model, various algorithms were proposed to provide a theoretical basis for the design of film and television PRS based on AI technology, and then it was proposed to use AI technology to design the film
and television PRS. At the end of the article, the simulation experiment was carried out, and the experiment was summarized and discussed. The experimental results show that the matrix processing efficiency of the new film and television PRS is higher than that of traditional film and television PRS, and the satisfaction of film and television PRS using artificial intelligence technology is 24% higher than that of traditional systems. Although the application of intelligent technology in the customized recommendation system for film and television has been mature, the application of intelligent technology in the field of engineering still lags far behind other fields.

Keywords: system design; artificial intelligence; engineering intelligence; personalized recommendation

Cite As

R. Zhang, Y. Lin, J. Zhang, M. Liu, "Design of Film and Television Personalized Recommendation System Based on
Artificial Intelligence Technology", Engineering Intelligent Systems, vol. 30 no. 4, pp. 285-293, 2023.

 

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Published

2023-07-01

Issue

Vol. 31 No. 4 (2023): International Journal of Engineering Intelligent Systems

Section

Article

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