Abstract
The present disclosure relates to dynamically modifying digital content, such as digital advertising and e-commerce recommendations, based on real-time environmental and geo-temporal signals. Systems and methods are provided for utilizing an asynchronous environmental caching layer integrated with generative artificial intelligence to mutate product metadata during live content serving auctions. By mapping a user's local environmental conditions against a product's attribute graph, the system suppresses irrelevant product features and elevates contextually relevant attributes. This enables content adaptation to the immediate physical reality of a user, enhancing contextual relevance and user engagement. Keywords: dynamic content generation, generative AI, environmental signals, geo-temporal data, low-latency caching, digital advertising, content modification.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
; Ramamurthi, Indu; and Balakrishnan, Aravind, "Dynamic Modification of Digital Content Based on Real-Time Environmental and Geo-Temporal Signals", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10359