  Recently, generative AI (GAI), with their emerging capabilities, have
presented unique opportunities for augmenting and revolutionizing industrial
recommender systems (Recsys). Despite growing research efforts at the
intersection of these fields, the integration of GAI into industrial Recsys
remains in its infancy, largely due to the intricate nature of modern
industrial Recsys infrastructure, operations, and product sophistication.
Drawing upon our experiences in successfully integrating GAI into several major
social and e-commerce platforms, this survey aims to comprehensively examine
the underlying system and AI foundations, solution frameworks, connections to
key research advancements, as well as summarize the practical insights and
challenges encountered in the endeavor to integrate GAI into industrial Recsys.
As pioneering work in this domain, we hope outline the representative
developments of relevant fields, shed lights on practical GAI adoptions in the
industry, and motivate future research.
