HGenPush: A Heterogeneous Generative Recommendation Architecture for Industrial Push Notification Systems

• URL: http://arxiv.org/abs/2607.03362v1
• Date: Fri, 03 Jul 2026 14:18:19 GMT
• Title: HGenPush: A Heterogeneous Generative Recommendation Architecture for Industrial Push Notification Systems
• Abstract summary: We propose an end-to-end heterogeneous generative recommendation architecture called HGenPush.<n>HGenPush simultaneously fulfills users' demands for high-quality content and trusted authors.<n>We have deployed HGenPush on the push notification system of Kuaishou, a large-scale short-video platform, achieving a significant 0.181% increase in daily active users.
• Score: 19.17988315151231
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: With the explosive growth of content platforms, recommendation systems need to better satisfy user demands to enhance user satisfaction and retention. Taking short-video platforms as an example, users not only seek high-quality content but also trusted authors. Although generative recommendation systems have achieved breakthroughs in recent years, existing methods primarily generate single-type recommendation content and typically employ the inefficient autoregressive paradigm to generate semantic IDs. In this paper, we propose an end-to-end heterogeneous generative recommendation architecture called HGenPush. First, we design a hybrid user behavior understanding module that integrates multi-scenario and multi-perspective behaviors to capture precise user interest. Then, we design a dual-branch heterogeneous generative recommendation module that integrates video recommendation and author recommendation within a unified framework. In addition, to improve generation efficiency, we design a lightweight multi-token prediction method that discards the autoregressive paradigm. Finally, we design a user consumption preference alignment module, which leverages user feedback as reward signals to guide the model toward generating higher-quality content, thereby enhancing user experience and engagement. Through these designs, HGenPush simultaneously fulfills users' demands for high-quality content and trusted authors. We have deployed HGenPush on the push notification system of Kuaishou, a large-scale short-video platform, achieving a significant 0.181% increase in daily active users.

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