DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation
Shared-account usage is common on streaming and e-commerce platforms, where multiple users share one account. Existing shared-account sequential recommendation (SSR) methods often assume a fixed number of latent users per account, limiting their ability to adapt to diverse sharing patterns and reducing recommendation accuracy. Recent latent reasoning technique applied in sequential recommendation (SR) generate intermediate embeddings from the user embedding (e.g, last item embedding) to uncover users' potential interests, which inspires us to treat the problem of inferring the number of latent users as generating a series of intermediate embeddings, shifting from inferring preferences beh...
| Authors | Jiawei Cheng, Min Gao, Zongwei Wang et al. |
|---|---|
| Primary category | cs.IR |
| Published | 4 March 2026 |
| Last updated at source | 4 March 2026 |
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