User-Controlled Intent Layers for LLM-Mediated Personalization: A Research Agenda for Recommender Systems
Recommender systems deployed at scale are predominantly organized around platform-centric architectures in which each service independently constructs and optimizes an internal representation of the user. As large language models (LLMs) become upstream entry points to digital services, personalization may be reorganize...