Proactive Guiding Strategy for Item-side Fairness in Interactive Recommendation
Item-side fairness is crucial for ensuring the fair exposure of long-tail items in interactive recommender systems. Existing approaches promote the exposure of long-tail items by directly incorporating them into recommended results. This causes misalignment between user preferences and the recommended long-tail items, which hinders long-term user engagement and reduces the effectiveness of recommendations. We aim for a proactive fairness-guiding strategy, which actively guides user preferences toward long-tail items while preserving user satisfaction during the interactive recommendation process. To this end, we propose HRL4PFG, an interactive recommendation framework that leverages hiera...
| Authors | Chongjun Xia, Xiaoyu Shi, Hong Xie et al. |
|---|---|
| Primary category | cs.IR |
| Published | 3 March 2026 |
| Last updated at source | 3 March 2026 |
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