Sequential Recommendation for Optimizing Both Immediate User Engagement and Long-term Retention

The core message of this paper is to introduce DT4IER, a novel Decision Transformer-based framework that effectively balances the optimization of immediate user engagement and long-term user retention in sequential recommendation scenarios.