Token-Controlled Re-ranking for Sequential Recommendation via LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Dai, Wenxi, Xu, Wujiang, Wang, Pinhuan, Metaxas, Dimitris N. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
by: Xu, Wujiang, et al.
Published: (2024)
by: Xu, Wujiang, et al.
Published: (2024)
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach
by: Xu, Wujiang, et al.
Published: (2023)
by: Xu, Wujiang, et al.
Published: (2023)
Towards Principled Learning for Re-ranking in Recommender Systems
by: Li, Qunwei, et al.
Published: (2025)
by: Li, Qunwei, et al.
Published: (2025)
Enhancing Recommendation Diversity by Re-ranking with Large Language Models
by: Carraro, Diego, et al.
Published: (2024)
by: Carraro, Diego, et al.
Published: (2024)
LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation
by: Fu, Rong, et al.
Published: (2026)
by: Fu, Rong, et al.
Published: (2026)
Pooling and Semantic Shift: The Fundamental Challenges in Long Text Embedding and Retrieval
by: Gao, Hang, et al.
Published: (2026)
by: Gao, Hang, et al.
Published: (2026)
Sequential Recommendation with Controllable Diversification: Representation Degeneration and Diversity
by: Fan, Ziwei, et al.
Published: (2023)
by: Fan, Ziwei, et al.
Published: (2023)
An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation
by: Wang, Jun, et al.
Published: (2024)
by: Wang, Jun, et al.
Published: (2024)
A Systematic Survey on Federated Sequential Recommendation
by: Li, Yichen, et al.
Published: (2025)
by: Li, Yichen, et al.
Published: (2025)
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning
by: Zhang, Hongyu, et al.
Published: (2023)
by: Zhang, Hongyu, et al.
Published: (2023)
What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context
by: Ouyang, Zhongyu, et al.
Published: (2025)
by: Ouyang, Zhongyu, et al.
Published: (2025)
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity
by: Chung, Hyunsoo, et al.
Published: (2024)
by: Chung, Hyunsoo, et al.
Published: (2024)
Producer-Fairness in Sequential Bundle Recommendation
by: Rio, Alexandre, et al.
Published: (2025)
by: Rio, Alexandre, et al.
Published: (2025)
Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach
by: Chen, Jialei, et al.
Published: (2025)
by: Chen, Jialei, et al.
Published: (2025)
Re-ranking Based Diversification: A Unifying View
by: Parambath, Shameem A Puthiya
Published: (2019)
by: Parambath, Shameem A Puthiya
Published: (2019)
Measuring Recency Bias In Sequential Recommendation Systems
by: Oh, Jeonglyul, et al.
Published: (2024)
by: Oh, Jeonglyul, et al.
Published: (2024)
Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers
by: Dong, Yue, et al.
Published: (2025)
by: Dong, Yue, et al.
Published: (2025)
When and What to Recommend: Joint Modeling of Timing and Content for Active Sequential Recommendation
by: Chai, Jin, et al.
Published: (2025)
by: Chai, Jin, et al.
Published: (2025)
SS4Rec: Continuous-Time Sequential Recommendation with State Space Models
by: Xiao, Wei, et al.
Published: (2025)
by: Xiao, Wei, et al.
Published: (2025)
Autoregressive Generation Strategies for Top-K Sequential Recommendations
by: Volodkevich, Anna, et al.
Published: (2024)
by: Volodkevich, Anna, et al.
Published: (2024)
Temporal Linear Item-Item Model for Sequential Recommendation
by: Park, Seongmin, et al.
Published: (2024)
by: Park, Seongmin, et al.
Published: (2024)
Improving Sequential Query Recommendation with Immediate User Feedback
by: Parambath, Shameem A Puthiya, et al.
Published: (2022)
by: Parambath, Shameem A Puthiya, et al.
Published: (2022)
Rethinking Convolutional Networks for Attribute-Aware Sequential Recommendation
by: Elsayed, Shereen, et al.
Published: (2026)
by: Elsayed, Shereen, et al.
Published: (2026)
Cross-Representation Knowledge Transfer for Improved Sequential Recommendations
by: Gimranov, Artur, et al.
Published: (2026)
by: Gimranov, Artur, et al.
Published: (2026)
Efficient Cold-Start Recommendation via BPE Token-Level Embedding Initialization with LLM
by: Zhao, Yushang, et al.
Published: (2025)
by: Zhao, Yushang, et al.
Published: (2025)
i$^2$VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation
by: Ning, Xuying, et al.
Published: (2024)
by: Ning, Xuying, et al.
Published: (2024)
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models
by: Li, Wuchao, et al.
Published: (2024)
by: Li, Wuchao, et al.
Published: (2024)
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
by: Hou, Yupeng, et al.
Published: (2025)
by: Hou, Yupeng, et al.
Published: (2025)
Enhancing Item Tokenization for Generative Recommendation through Self-Improvement
by: Chen, Runjin, et al.
Published: (2024)
by: Chen, Runjin, et al.
Published: (2024)
BiCoRec: Bias-Mitigated Context-Aware Sequential Recommendation Model
by: Muthivhi, Mufhumudzi, et al.
Published: (2025)
by: Muthivhi, Mufhumudzi, et al.
Published: (2025)
Break the ID-Language Barrier: An Adaption Framework for LLM-based Sequential Recommendation
by: Yu, Xiaohan, et al.
Published: (2024)
by: Yu, Xiaohan, et al.
Published: (2024)
STARS: Semantic Tokens with Augmented Representations for Recommendation at Scale
by: Chen, Han, et al.
Published: (2025)
by: Chen, Han, et al.
Published: (2025)
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training
by: Tan, Juntao, et al.
Published: (2023)
by: Tan, Juntao, et al.
Published: (2023)
Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation
by: Seshadri, Pavan, et al.
Published: (2023)
by: Seshadri, Pavan, et al.
Published: (2023)
CSRec: Rethinking Sequential Recommendation from A Causal Perspective
by: Liu, Xiaoyu, et al.
Published: (2024)
by: Liu, Xiaoyu, et al.
Published: (2024)
Sparse Autoencoders for Sequential Recommendation Models: Interpretation and Flexible Control
by: Klenitskiy, Anton, et al.
Published: (2025)
by: Klenitskiy, Anton, et al.
Published: (2025)
TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation
by: Zhang, Jiaqing, et al.
Published: (2025)
by: Zhang, Jiaqing, et al.
Published: (2025)
From Agnostic to Specific: Latent Preference Diffusion for Multi-Behavior Sequential Recommendation
by: Yang, Ruochen, et al.
Published: (2026)
by: Yang, Ruochen, et al.
Published: (2026)
Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders
by: Chen, Zhimin, et al.
Published: (2025)
by: Chen, Zhimin, et al.
Published: (2025)
Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation
by: Du, Wei-Wei, et al.
Published: (2025)
by: Du, Wei-Wei, et al.
Published: (2025)
Similar Items
-
SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
by: Xu, Wujiang, et al.
Published: (2024) -
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach
by: Xu, Wujiang, et al.
Published: (2023) -
Towards Principled Learning for Re-ranking in Recommender Systems
by: Li, Qunwei, et al.
Published: (2025) -
Enhancing Recommendation Diversity by Re-ranking with Large Language Models
by: Carraro, Diego, et al.
Published: (2024) -
LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation
by: Fu, Rong, et al.
Published: (2026)