Showing 2026 · cs.IRShow all
2 papers · 2 filters
cs.IR2026
GenCAR: Generative Counterfactual Alignment with Risk-Controlled Selection for Out-of-Distribution Recommendation
Qianqian Wang, Yunshan Li, Jiawen Zeng +2
Serving useful recommendations under distribution shift is crucial for balancing utility and risk in out-of-distribution (OOD) recommendation. However, most existing OOD methods im…
cs.IR2026
Conditionally Identifiable Latent-Environment Modeling for Out-of-Distribution Recommendation
Qianqian Wang, Wenwu Gong, Yunshan Li +3
Out-of-distribution (OOD) recommendation is vulnerable to preference shifts induced by a latent environment. Existing methods can infer latent states from logged interactions, yet…