When Relevance Meets Novelty: Dual-Stable Periodic Optimization for Serendipitous Recommendation

Hongxiang Lin, Hao Guo, Zeshun Li +6

Traditional recommendation systems tend to trap users in strong feedback loops by excessively pushing content aligned with their historical preferences, thereby limiting exploratio…