The invention discloses an intelligent
video editing optimization system and method based on target audience prediction, and belongs to the technical field of
artificial intelligence and
digital marketing. According to the method, dynamic analysis of target audience features and real-time
adaptation of a
video editing strategy are realized through a programmed automatic process, and the problems of high manual dependency, poor cross-culture adaptability, strategy updating lagging and the like in the traditional technology are solved. The method specifically comprises the following steps: calling a third-party platform application program interface to obtain user behavior data, and generating a dynamic audience portrait by using an
artificial intelligence large model; shot selection, duration distribution and culture
adaptation of video content are optimized through a
reinforcement learning algorithm on the basis of portraits, a shot selection module dynamically distributes technical parameter close-up and
cost comparison content according to
user role types, and a culture
adaptation module calls a taboo
library to automatically replace sensitive elements; a synchronous test is carried out by generating multiple versions of videos, closed-loop feedback iteration is realized based on a user click rate and a conversion rate index, and an editing strategy is continuously optimized. Compared with a traditional method, the
system has the advantages that the cross-culture adaptation precision, the strategy response speed and the user conversion effect of the video content are remarkably improved through cooperation of the
artificial intelligence model and the programmed decision engine, and the
system is suitable for
precision marketing requirements of multiple scenes such as cross-border e-commerce and
industrial equipment.