Generative Recommendation Systems for JD Alliance Advertising: Architecture, Implementation, and Experimental Evaluation
This article surveys how large language models reshape recommendation systems, presents a generative RS framework tailored for JD Alliance advertising, details material representation, model input, training and inference pipelines, and reports extensive offline and online experiments demonstrating its effectiveness on sparse user data.