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IDGenRec: LLM-RecSys Alignment with Textual ID Learning
v1v2 (latest)

IDGenRec: LLM-RecSys Alignment with Textual ID Learning

27 March 2024
Juntao Tan
Shuyuan Xu
Qingfeng Lan
Yingqiang Ge
Zelong Li
Zelong Li
ArXiv (abs)PDFHTMLGithub (52★)

Papers citing "IDGenRec: LLM-RecSys Alignment with Textual ID Learning"

35 / 35 papers shown
CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation
CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation
Tianxin Wei
Xuying Ning
Xuxing Chen
Ruizhong Qiu
Yupeng Hou
Yan Xie
Shuang Yang
Zhigang Hua
Jingrui He
AI4TS
107
4
0
27 Nov 2025
RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers
RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers
Tianyu Zhan
Kairui Fu
Zheqi Lv
Shengyu Zhang
AI4TSVLM
240
0
0
21 Nov 2025
Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation
Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation
Yimeng Bai
Chang Liu
Y. Zhang
D. Wang
Frank Yang
Andrew Rabinovich
Wenge Rong
Fuli Feng
156
3
0
24 Oct 2025
Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders
Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders
Bohao Wang
Jiawei Chen
Feng Liu
Changwang Zhang
Jun Wang
Canghong Jin
Chun-Yen Chen
Can Wang
163
0
0
13 Oct 2025
Self-Supervised Representation Learning with ID-Content Modality Alignment for Sequential Recommendation
Self-Supervised Representation Learning with ID-Content Modality Alignment for Sequential Recommendation
Donglin Zhou
Weike Pan
Zhong Ming
AI4TS
178
0
0
12 Oct 2025
Improving Anomaly Detection in Industrial Time Series: The Role of Segmentation and Heterogeneous Ensemble
Improving Anomaly Detection in Industrial Time Series: The Role of Segmentation and Heterogeneous Ensemble
Emilio Mastriani
Alessandro Costa
Federico Incardona
Kevin Munari
Sebastiano Spinello
AI4TS
131
0
0
10 Oct 2025
Understanding Generative Recommendation with Semantic IDs from a Model-scaling View
Understanding Generative Recommendation with Semantic IDs from a Model-scaling View
Jingzhe Liu
Liam Collins
Shucheng Zhou
Tong Zhao
Neil Shah
Clark Mingxuan Ju
VLMLRM
235
3
0
29 Sep 2025
Purely Semantic Indexing for LLM-based Generative Recommendation and Retrieval
Purely Semantic Indexing for LLM-based Generative Recommendation and Retrieval
Ruohan Zhang
Jiacheng Li
Julian McAuley
Yupeng Hou
VLM
128
0
0
19 Sep 2025
Enhancing Time Awareness in Generative Recommendation
Enhancing Time Awareness in Generative RecommendationConference on Empirical Methods in Natural Language Processing (EMNLP), 2025
Sunkyung Lee
Seongmin Park
Jonghyo Kim
Mincheol Yoon
Jongwuk Lee
199
1
0
17 Sep 2025
Spacetime-GR: A Spacetime-Aware Generative Model for Large Scale Online POI Recommendation
Spacetime-GR: A Spacetime-Aware Generative Model for Large Scale Online POI Recommendation
Haitao Lin
Zhen Yang
Jiawei Xue
Ziji Zhang
Luzhu Wang
Yikun Gu
Yao Xu
X. Li
150
1
0
22 Aug 2025
MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation
MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation
Y. Xu
Moyu Zhang
Chenxuan Li
Zhihao Liao
Haibo Xing
Hao Deng
Jinxin Hu
Yu-Xin Zhang
Xiaoyi Zeng
Jing-Xuan Zhang
191
9
0
21 Aug 2025
DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion
DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion
Moyu Zhang
Yun Chen
Yujun Jin
Jinxin Hu
Yu Zhang
DiffM
249
4
0
20 Aug 2025
Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation
Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation
M. Y. Wang
Yunhang He
Cong Xu
Zhangchi Zhu
Wei-Qiang Zhang
VLM
128
1
0
14 Aug 2025
Generative Recommendation with Semantic IDs: A Practitioner's Handbook
Generative Recommendation with Semantic IDs: A Practitioner's Handbook
Clark Mingxuan Ju
Liam Collins
Leonardo Neves
Bhuvesh Kumar
Louis Yufeng Wang
Tong Zhao
Neil Shah
VLM
160
8
0
29 Jul 2025
Generative Multi-Target Cross-Domain Recommendation
Generative Multi-Target Cross-Domain Recommendation
Jinqiu Jin
Yang Zhang
Fuli Feng
Xiangnan He
LRM
284
0
0
17 Jul 2025
Heterogeneous User Modeling for LLM-based Recommendation
Heterogeneous User Modeling for LLM-based Recommendation
Honghui Bao
Wenjie Wang
Xinyu Lin
Fengbin Zhu
Teng Sun
Fuli Feng
Tat-Seng Chua
317
1
0
07 Jul 2025
Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning
Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning
Y. Liu
Zhengyi Yang
Jiancan Wu
Xiang Wang
OffRLAI4TS
226
0
0
03 Jul 2025
DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation
DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation
Chang Liu
Yimeng Bai
Xiaoyan Zhao
Yang Zhang
Fuli Feng
Wenge Rong
306
11
0
18 Jun 2025
Generating Long Semantic IDs in Parallel for Recommendation
Generating Long Semantic IDs in Parallel for RecommendationKnowledge Discovery and Data Mining (KDD), 2025
Yupeng Hou
Jiacheng Li
Ashley Shin
Jinsung Jeon
Abhishek Santhanam
Wei Shao
Kaveh Hassani
Ning Yao
Julian McAuley
3DVVLM
334
28
0
06 Jun 2025
RecGPT: A Foundation Model for Sequential Recommendation
RecGPT: A Foundation Model for Sequential Recommendation
Yangqin Jiang
Xubin Ren
Lianghao Xia
Da Luo
Kangyi Lin
Chao Huang
LRM
365
0
0
06 Jun 2025
GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion
GRAM: Generative Recommendation via Semantic-aware Multi-granular Late FusionAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Sunkyung Lee
Minjin Choi
Eunseong Choi
Hye-young Kim
Jongwuk Lee
VLM
215
4
0
02 Jun 2025
CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language
CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and LanguageAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Lin Zhong
Lingzhi Wang
Xu Yang
Qing Liao
LLMAG
363
4
0
28 May 2025
Exploring Backdoor Attack and Defense for LLM-empowered Recommendations
Exploring Backdoor Attack and Defense for LLM-empowered Recommendations
Liangbo Ning
Wenqi Fan
Qing Li
AAMLSILM
392
5
0
15 Apr 2025
Token-Efficient Item Representation via Images for LLM Recommender Systems
Token-Efficient Item Representation via Images for LLM Recommender Systems
Kibum Kim
Sein Kim
Hongseok Kang
Jiwan Kim
Heewoong Noh
Yeonjun In
Kanghoon Yoon
Jinoh Oh
Chanyoung Park
Chanyoung Park
280
0
0
08 Mar 2025
LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
Xi Zhu
Haochen Xue
Ziwei Zhao
Wujiang Xu
Jingyuan Huang
Minghao Guo
Qifan Wang
Kaixiong Zhou
Yongfeng Zhang
Yongfeng Zhang
502
22
0
05 Mar 2025
Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
Yue Yang
Zhi Ji
Zhiyu Li
Yongqian Li
Zhonglin Mo
...
Kai Chen
Zijian Zhang
Jie Li
Shuanglong Li
Liu Liu
302
46
0
04 Mar 2025
Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models
Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models
Yunjia Xi
Muyan Weng
Wen Chen
Chao Yi
Benlin Liu
...
Jian Wu
Yuning Jiang
Qingwen Liu
Yong Yu
Weinan Zhang
LRM
212
8
0
20 Feb 2025
Order-agnostic Identifier for Large Language Model-based Generative Recommendation
Order-agnostic Identifier for Large Language Model-based Generative RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Xinyu Lin
Haihan Shi
Wenjie Wang
Fuli Feng
Qifan Wang
See-Kiong Ng
Tat-Seng Chua
405
29
0
15 Feb 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical AnalysisACM Transactions on Knowledge Discovery from Data (TKDD), 2024
Lanling Xu
Junjie Zhang
Bingqian Li
Jinpeng Wang
Sheng Chen
Wayne Xin Zhao
Ji-Rong Wen
526
29
0
17 Jan 2025
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Weiwei Sun
Lingyong Yan
Xinyu Ma
Shuaiqiang Wang
Sudipta Singha Roy
Zhumin Chen
D. Yin
Zhaochun Ren
RALMALMELMLRMLM&MA
823
459
0
31 Dec 2024
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
Luyi Ma
Xiaohan Li
Zezhong Fan
Kai Zhao
Jianpeng Xu
Praveen Kanumala
Gabriele Tolomei
Sushant Kumar
Sushant Kumar
Kannan Achan
379
12
0
16 Oct 2024
Generative Recommender with End-to-End Learnable Item Tokenization
Generative Recommender with End-to-End Learnable Item TokenizationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024
Enze Liu
Bowen Zheng
Cheng Ling
Lantao Hu
Han Li
Wayne Xin Zhao
380
35
0
09 Sep 2024
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative DecodingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024
Yunjia Xi
Hangyu Wang
Bo Chen
Jianghao Lin
Menghui Zhu
Wen Liu
Ruiming Tang
Zhewei Wei
Weinan Zhang
Yong Yu
OffRL
495
8
0
11 Aug 2024
Knowledge Adaptation from Large Language Model to Recommendation for
  Practical Industrial Application
Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
Jian Jia
Yipei Wang
Yan Li
Honggang Chen
Xuehan Bai
...
Jian Liang
Quan Chen
Han Li
Peng Jiang
Kun Gai
KELM
319
32
0
07 May 2024
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with
  Mutual Information Maximization
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Kun Zhou
Haibo Wang
Wayne Xin Zhao
Yutao Zhu
Sirui Wang
Fuzheng Zhang
Zhongyuan Wang
Ji-Rong Wen
416
1,055
0
18 Aug 2020
1
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