提出新推荐范式，摆脱用户中心思维。
Post-Userist Recommender Systems : A Manifesto
- 将推荐系统置于多方利益相关者关系网络中考量
- 区分推荐功能与生成媒体的本质差异
- 适合关注生成式内容生态的研究者
用户中心推荐系统仅关注用户与系统的单向关系。后用户中心推荐系统将推荐置于更广泛的利益相关者关系场中，明确区分推荐功能（可连接创作者与受众）与生成媒体。在生成式媒体时代，用户中心推荐已与个性化内容生成难以区分，因此后用户中心推荐是推荐系统研究的唯一前进路径。
原文摘要 · Abstract (English)
We define userist recommendation as an approach to recommender systems framed solely in terms of the relation between the user and system. Post-userist recommendation posits a larger field of relations in which stakeholders are embedded and distinguishes the recommendation function (which can potentially connect creators with audiences) from generative media. We argue that in the era of generative media, userist recommendation becomes indistinguishable from personalized media generation, and therefore post-userist recommendation is the only path forward for recommender systems research.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。