Future-Conditioned Recommendations with Multi-Objective Controllable Decision Transformer

Chongming Gao, Kexin Huang, Ziang Fei +6

Securing long-term success is the ultimate aim of recommender systems, demanding strategies capable of foreseeing and shaping the impact of decisions on future user satisfaction. C…