Research on Coherence Optimization in E-commerce Video Advertising Generation Using AIGC

Abstract

E-commerce video advertising is one of the primary means of e-commerce marketing, and the coherence of e-commerce video advertising directly affects the efficiency of information transmission. Current mainstream AIGC models tend to encounter issues such as visual stuttering, logical inversion, and excessive stiffness when generating long-sequence e-commerce advertisements, leading to narrative confusion and unclear content expression in video advertisements. This paper explores optimization strategies for enhancing the coherence of e-commerce advertising generation through literature review and case analysis. The results indicate that the optimization methods improve advertisement coherence and completion rates. This study provides an operational optimization path for the controllable generation of AIGC in e-commerce video advertising.