Year: 2025
Type: preprint
Abstract: Recent breakthroughs in generative AI have transformed recommender systems through end-to-end generation. OneRec reformulates recommendation as an autoregressive generation task, achieving high Model FLOPs Utilization. While OneRec-V1 has shown significant empirical success in real-world deployment, two critical challenges hinder its scalability and performance: (1) inefficient computational allocation where 97.66% of resources are consumed by sequence encoding rather than generation, and (2) limitations in reinforcement learning relying solely on reward models. To address these challenges, we propose OneRec-V2, featuring: (1) Lazy Decoder-Only Architecture: Eliminates encoder bottlenecks, reducing total computation by 94% and training resources by 90%, enabling successful scaling to 8B parameters. (2) Preference Alignment with Real-World User Interactions: Incorporates Duration-Aware Reward Shaping and Adaptive Ratio Clipping to better align with user preferences using real-world feedback. Extensive A/B tests on Kuaishou demonstrate OneRec-V2's effectiveness, improving App Stay Time by 0.467%/0.741% while balancing multi-objective recommendations. This work advances generative recommendation scalability and alignment with real-world feedback, representing a step forward in the development of end-to-end recommender systems.
Source: arXiv (Cornell University)
Authors: Zhou, Guorui, Hu, Hengrui, Cheng, Hongtao, Wang, Huanjie, Deng, Jiaxin, Zhang, Jinghao, Cai, Kuo, Ren, Lejian, Ren, Lu, Yu, Liao, Zheng, Pengfei, Luo, Qiang, Wang, Qianqian, Hu, Qigen, Huang, Rui, Tang, Ruiming, Wang, Shiyao, Yang, Shujie, Wu, Tao, Li, Wuchao, Luo, Xinchen, Wang, Xingmei, Su, Yi, Wu, Yunfan, Cheng, Zexuan, Liu, Zhanyu, Zhang, Zixing, Zhang, Bin, Wang, Boxuan, Ma, Chaoyi, Song, Chengru, Wang, Chenhui, Chu, Chenglong, Wang, Di, Meng, Dongxue, Zang, Dunju, Yang, Fan, Zhang, Fangyu, Jiang, Feng, Zhang, Fuxing, Wang, Gang, Zhang, Guowang, Li, Han, Bao, Honghui, Cao, Hongyang, Huang, Jiaming, Chen, Jiapeng, Liu, Jiaqiang, Jia, Jinghui, Gai, Kun, Hu, Lantao, Zeng, Liang, Wang, Qiang, Zhou, Qidong, Zhang, Rongzhou, Wang, Shengzhe, He, Shihui, Yang, Shuang, Mao, Siyang, Huang, Sui, He, Tiantian, Gao, Tingting, Yuan, Wei, Liang, Xiao, Xu, Xiaoxiao, Liu, Xugang, Wang, Yan, Zhou, Yang, Wang, Yi, Liu, Yiwu, Song, Yue, Zhang, Yufei, Zhao, Yunfeng, Ling, Zhixin, Li, Ziming
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4414450175
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