Reasoning over Semantic IDs Enhances Generative Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | He, Yingzhi, Sun, Yan, Tan, Junfei, Chen, Yuxin, Kong, Xiaoyu, Shen, Chunxu, Wang, Xiang, Zhang, An, Chua, Tat-Seng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation
by: Ma, Yunshan, et al.
Published: (2023)
by: Ma, Yunshan, et al.
Published: (2023)
On Generative Agents in Recommendation
by: Zhang, An, et al.
Published: (2023)
by: Zhang, An, et al.
Published: (2023)
On Softmax Direct Preference Optimization for Recommendation
by: Chen, Yuxin, et al.
Published: (2024)
by: Chen, Yuxin, et al.
Published: (2024)
LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation
by: He, Yingzhi, et al.
Published: (2025)
by: He, Yingzhi, et al.
Published: (2025)
MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation
by: Kong, Xiaoyu, et al.
Published: (2025)
by: Kong, Xiaoyu, et al.
Published: (2025)
Generative Recommendation: Towards Next-generation Recommender Paradigm
by: Wang, Wenjie, et al.
Published: (2023)
by: Wang, Wenjie, et al.
Published: (2023)
Generating Long Semantic IDs in Parallel for Recommendation
by: Hou, Yupeng, et al.
Published: (2025)
by: Hou, Yupeng, et al.
Published: (2025)
Semantic IDs for Joint Generative Search and Recommendation
by: Penha, Gustavo, et al.
Published: (2025)
by: Penha, Gustavo, et al.
Published: (2025)
Language Representations Can be What Recommenders Need: Findings and Potentials
by: Sheng, Leheng, et al.
Published: (2024)
by: Sheng, Leheng, et al.
Published: (2024)
Generative Recommendation with Semantic IDs: A Practitioner's Handbook
by: Ju, Clark Mingxuan, et al.
Published: (2025)
by: Ju, Clark Mingxuan, et al.
Published: (2025)
Unleash the Potential of Long Semantic IDs for Generative Recommendation
by: Xia, Ming, et al.
Published: (2026)
by: Xia, Ming, et al.
Published: (2026)
Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
by: Lin, Xinyu, et al.
Published: (2026)
by: Lin, Xinyu, et al.
Published: (2026)
From Head to Tail: Asymmetric Knowledge Transfer in Long-tail Recommendation with Generative Semantic IDs
by: Yan, Chenyi, et al.
Published: (2026)
by: Yan, Chenyi, et al.
Published: (2026)
Semantic IDs for Music Recommendation
by: Mei, M. Jeffrey, et al.
Published: (2025)
by: Mei, M. Jeffrey, et al.
Published: (2025)
CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling
by: Ma, Yunshan, et al.
Published: (2024)
by: Ma, Yunshan, et al.
Published: (2024)
Diffusion Recommender Model
by: Wang, Wenjie, et al.
Published: (2023)
by: Wang, Wenjie, et al.
Published: (2023)
Decoupled Residual Quantization for Robust Semantic IDs in Recommendation
by: Wang, Xuesi, et al.
Published: (2026)
by: Wang, Xuesi, et al.
Published: (2026)
DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System
by: Ye, Wencai, et al.
Published: (2025)
by: Ye, Wencai, et al.
Published: (2025)
Denoising Diffusion Recommender Model
by: Zhao, Jujia, et al.
Published: (2024)
by: Zhao, Jujia, et al.
Published: (2024)
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
by: Xu, Chen, et al.
Published: (2025)
by: Xu, Chen, et al.
Published: (2025)
Verifiable Reasoning for LLM-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2026)
by: Lin, Xinyu, et al.
Published: (2026)
CapsID: Soft-Routed Variable-Length Semantic IDs for Generative Recommendation
by: Cheng, Wenzhuo, et al.
Published: (2026)
by: Cheng, Wenzhuo, et al.
Published: (2026)
From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization
by: Hu, Peiyu, et al.
Published: (2025)
by: Hu, Peiyu, et al.
Published: (2025)
A Federated Framework for LLM-based Recommendation
by: Zhao, Jujia, et al.
Published: (2024)
by: Zhao, Jujia, et al.
Published: (2024)
EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens
by: Yang, Chaoqun, et al.
Published: (2025)
by: Yang, Chaoqun, et al.
Published: (2025)
DOS: Dual-Flow Orthogonal Semantic IDs for Recommendation in Meituan
by: Yin, Junwei, et al.
Published: (2026)
by: Yin, Junwei, et al.
Published: (2026)
When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study
by: Qiao, Shutong, et al.
Published: (2026)
by: Qiao, Shutong, et al.
Published: (2026)
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
by: Singh, Anima, et al.
Published: (2023)
by: Singh, Anima, et al.
Published: (2023)
Heterogeneous User Modeling for LLM-based Recommendation
by: Bao, Honghui, et al.
Published: (2025)
by: Bao, Honghui, et al.
Published: (2025)
Learnable Item Tokenization for Generative Recommendation
by: Wang, Wenjie, et al.
Published: (2024)
by: Wang, Wenjie, et al.
Published: (2024)
Learning to Ask Critical Questions for Assisting Product Search
by: Li, Zixuan, et al.
Published: (2024)
by: Li, Zixuan, et al.
Published: (2024)
Order-agnostic Identifier for Large Language Model-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2025)
by: Lin, Xinyu, et al.
Published: (2025)
Uplift Modeling for Target User Attacks on Recommender Systems
by: Wang, Wenjie, et al.
Published: (2024)
by: Wang, Wenjie, et al.
Published: (2024)
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
by: Lin, Xinyu, et al.
Published: (2023)
by: Lin, Xinyu, et al.
Published: (2023)
Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices
by: Ju, Clark Mingxuan, et al.
Published: (2026)
by: Ju, Clark Mingxuan, et al.
Published: (2026)
A Study of Implicit Ranking Unfairness in Large Language Models
by: Xu, Chen, et al.
Published: (2023)
by: Xu, Chen, et al.
Published: (2023)
Variable-Length Semantic IDs for Recommender Systems
by: Khrylchenko, Kirill
Published: (2026)
by: Khrylchenko, Kirill
Published: (2026)
The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation
by: Liu, Ziwei, et al.
Published: (2025)
by: Liu, Ziwei, et al.
Published: (2025)
MiniRec: Data-Efficient Reinforcement Learning for LLM-based Recommendation
by: Wang, Lin, et al.
Published: (2026)
by: Wang, Lin, et al.
Published: (2026)
Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation
by: Zhang, Yang, et al.
Published: (2024)
by: Zhang, Yang, et al.
Published: (2024)
Similar Items
-
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation
by: Ma, Yunshan, et al.
Published: (2023) -
On Generative Agents in Recommendation
by: Zhang, An, et al.
Published: (2023) -
On Softmax Direct Preference Optimization for Recommendation
by: Chen, Yuxin, et al.
Published: (2024) -
LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation
by: He, Yingzhi, et al.
Published: (2025) -
MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation
by: Kong, Xiaoyu, et al.
Published: (2025)