AI 中文总结
探讨自主智能体时代推荐系统范式转变，回顾以人类为中心研究见解，将智能体视为独立助手，描述三方互动，指出转变带来新机会与评估等方面独特挑战。
AI 中文摘要
几十年来，推荐系统一直是为服务人类用户而优化的。然而，自主智能体的迅速部署带来了范式转变：预计推荐系统的消费者将越来越多地是人类和代表他们行事的授权智能体的混合体。本立场文件回顾了先前以人类为中心的推荐系统研究的见解，并概述了向这种混合环境的转变。在讨论中，我们将智能体视为独立的、与用户一致的助手，它们作为推荐系统的最终用户，而不是平台构建的组件。我们描述了人类、智能体和平台之间产生的三方互动，突出了这些关系中可能出现的动态。这种转变为推荐系统研究带来了新机会，同时也给评估、对齐和系统设计带来了独特挑战。
英文摘要
For decades, recommender systems have been optimized to serve human users. However, the rapid deployment of autonomous agents introduces a paradigm shift: recommendation consumers are predicted to be increasingly a mixture of humans and authorized agents acting on their behalf. This position paper reviews insights from prior human-centric RecSys research and outlines the transition to this hybrid environment. In our discussion, we treat agents as independent, user-aligned assistants that act as end-users of recommender systems, rather than platform-built components. We characterize the resulting tripartite interactions among humans, agents, and platforms, highlighting the dynamics that can arise across these relationships. This shift presents new opportunities for RecSys research, while introducing unique challenges for evaluation, alignment, and system design.
CommentsAccepted to the ACM RecSys 2026 Main Track
