Cover Image

Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zhiyang, She, Junda, Cai, Kuo, Chen, Bo, Wang, Shiyao, Luo, Xinchen, Luo, Qiang, Tang, Ruiming, Li, Han, Gai, Kun, Zhou, Guorui
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation
by: Guo, Chengcheng, et al.
Published: (2025)

PROMISE: Process Reward Models Unlock Test-Time Scaling Laws in Generative Recommendations
by: Guo, Chengcheng, et al.
Published: (2026)

OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service
by: Wei, Zhipeng, et al.
Published: (2025)

GEMs: Breaking the Long-Sequence Barrier in Generative Recommendation with a Multi-Stream Decoder
by: Zhou, Yu, et al.
Published: (2026)

GLASS: A Generative Recommender for Long-sequence Modeling via SID-Tier and Semantic Search
by: Cao, Shiteng, et al.
Published: (2026)

OneLive: Dynamically Unified Generative Framework for Live-Streaming Recommendation
by: Wang, Shen, et al.
Published: (2026)

OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment
by: Deng, Jiaxin, et al.
Published: (2025)

DiffGRM: Diffusion-based Generative Recommendation Model
by: Liu, Zhao, et al.
Published: (2025)

GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework
by: Sun, Yijia, et al.
Published: (2025)

Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
by: Xi, Yunjia, et al.
Published: (2024)

OneRec-Think: In-Text Reasoning for Generative Recommendation
by: Liu, Zhanyu, et al.
Published: (2025)

FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation
by: Wang, Guoquan, et al.
Published: (2025)

MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation
by: Shan, Rong, et al.
Published: (2026)

DADF: A Distribution-Aware Debiasing Framework for Watch-Time Regression in Recommender Systems
by: Yang, Yiqing, et al.
Published: (2026)

LLM-Alignment Live-Streaming Recommendation
by: Liu, Yueyang, et al.
Published: (2025)

SMES: Towards Scalable Multi-Task Recommendation via Expert Sparsity
by: Zhang, Yukun, et al.
Published: (2026)

LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation
by: Jiang, Hao, et al.
Published: (2025)

Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation
by: He, Zhiyu, et al.
Published: (2025)

CRM: Retrieval Model with Controllable Condition
by: Liu, Chi, et al.
Published: (2024)

Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders
by: Xu, Cong, et al.
Published: (2024)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
by: Zhang, Wenlin, et al.
Published: (2024)

Unleash the Potential of Long Semantic IDs for Generative Recommendation
by: Xia, Ming, et al.
Published: (2026)

OneMall: One Architecture, More Scenarios -- End-to-End Generative Recommender Family at Kuaishou E-Commerce
by: Zhang, Kun, et al.
Published: (2026)

ALPBench: A Benchmark for Attribution-level Long-term Personal Behavior Understanding
by: Ren, Lu, et al.
Published: (2026)

QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou
by: Luo, Xinchen, et al.
Published: (2024)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
by: Gao, Jingtong, et al.
Published: (2024)

RecFlow: An Industrial Full Flow Recommendation Dataset
by: Liu, Qi, et al.
Published: (2024)

Selection and Exploitation of High-Quality Knowledge from Large Language Models for Recommendation
by: Wang, Guanchen, et al.
Published: (2025)

HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment
by: Li, Guorui, et al.
Published: (2026)

Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations
by: Huang, Junjie, et al.
Published: (2024)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
by: Gao, Jingtong, et al.
Published: (2025)

Why Generate When You Can Transform? Unleashing Generative Attention for Dynamic Recommendation
by: Liu, Yuli, et al.
Published: (2025)

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
by: Xue, Zhenghai, et al.
Published: (2023)

HAMUR: Hyper Adapter for Multi-Domain Recommendation
by: Li, Xiaopeng, et al.
Published: (2023)

Contextual Distillation Model for Diversified Recommendation
by: Li, Fan, et al.
Published: (2024)

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
by: Wang, Yuhao, et al.
Published: (2024)

Moment&Cross: Next-Generation Real-Time Cross-Domain CTR Prediction for Live-Streaming Recommendation at Kuaishou
by: Cao, Jiangxia, et al.
Published: (2024)

MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback
by: Cai, Shihao, et al.
Published: (2025)

ELASTIC: Efficient Linear Attention for Sequential Interest Compression
by: Deng, Jiaxin, et al.
Published: (2024)

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation
by: Chen, Jizheng, et al.
Published: (2024)