#REG4Rec
Xing, Deng, Mao, Hu, Xu, Zhang, Wang, Wang, Zhang, Zeng, Zhang: REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems https://arxiv.org/abs/2508.15308 https://arxiv.org/pdf/2508.15308 https://arxiv.org/html/2508.15308
August 22, 2025 at 6:32 AM
REG4Rec adds multi‑path semantic tokens (MPQ) and self‑reflection pruning (CORP) to improve recommendation diversity and reliability, the authors say today. https://getnews.me/reg4rec-unveils-reasoning-enhanced-generative-model-for-recommendations/ #reg4rec #selfreflection
September 23, 2025 at 1:11 AM
REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems

Alibaba introduces a reasoning-enhanced generative recommendation model that constructs multiple dynamic semantic reasoning paths with self-reflection.

📝 arxiv.org/abs/2508.15308
REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems
Sequential recommendation aims to predict a user's next action in large-scale recommender systems. While traditional methods often suffer from insufficient information interaction, recent generative r...
arxiv.org
August 22, 2025 at 3:34 AM
Haibo Xing, Hao Deng, Yucheng Mao, Jinxin Hu, Yi Xu, Hao Zhang, Jiahao Wang, Shizhun Wang, Yu Zhang, Xiaoyi Zeng, Jing Zhang
REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems
https://arxiv.org/abs/2508.15308
August 22, 2025 at 5:01 AM
REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale
Recommendation Systems
Haibo Xing, Hao Deng et al.
Paper
Details
#REG4Rec #RecommendationSystems #MachineLearningResearch
September 4, 2025 at 8:58 PM