Abstract
Systems and methods can use generative artificial intelligence to synthesize personalized media content. For example, when a user returns to a series, a system can generate a dynamic recap designed to be spoiler-free based on a user's last-viewed point, for instance, by retrieving relevant plot information from a media knowledge graph. The technology could also generate alternative narrative scenes based on user prompts, for example, by using system guardrails to promote stylistic consistency with the source material. These techniques may provide personalized user interactions, potentially improving viewer re-engagement with serialized content and extending interaction with media franchises within a media delivery environment.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Daftari, Dev and Verma, Akash, "Generative Synthesis of Context-Aware Media Recaps and Alternative Narratives", Technical Disclosure Commons, (August 18, 2026)
https://www.tdcommons.org/dpubs_series/11411