[2603.03782] DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation

Computer Science > Information Retrieval arXiv:2603.03782 (cs) [Submitted on 4 Mar 2026] Title:DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation Authors:Jiawei Cheng, Min Gao, Zongwei Wang, Xiaofei Zhu, Zhiyi Liu, Wentao Li, Wei Li, Huan Wu View a PDF of the paper titled DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation, by Jiawei Cheng and Min Gao and Zongwei Wang and Xiaofei Zhu and Zhiyi Liu and Wentao Li and Wei Li and Huan Wu View PDF HTML (experimental) Abstract: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 behind user to inferring the users behind account. However, the last item cannot be directly used for reasoning in SSR, as it can only represent the behavior of the most recent latent user, rather than the collective behav...