Recurrent Preference Memory for Efficient Long-Sequence Generative Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yixiao, Wang, Yuan, Liu, Yue, Wang, Qiyao, Cheng, Ke, Xu, Xin, Yan, Juntong, Yang, Shuojin, Guo, Menghao, Zhang, Jun, Yu, Huan, Jiang, Jie |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Internalizing Multi-Agent Reasoning for Accurate and Efficient LLM-based Recommendation
by: Wu, Yang, et al.
Published: (2026)
by: Wu, Yang, et al.
Published: (2026)
GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation
by: Zhang, Jun, et al.
Published: (2025)
by: Zhang, Jun, et al.
Published: (2025)
Long-Sequence Recommendation Models Need Decoupled Embeddings
by: Feng, Ningya, et al.
Published: (2024)
by: Feng, Ningya, et al.
Published: (2024)
FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation
by: Peng, Qiyao, et al.
Published: (2025)
by: Peng, Qiyao, et al.
Published: (2025)
ICPE: An Item Cluster-Wise Pareto-Efficient Framework for Recommendation Debiasing
by: Wang, Yule, et al.
Published: (2021)
by: Wang, Yule, et al.
Published: (2021)
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation
by: Liu, Chengkai, et al.
Published: (2024)
by: Liu, Chengkai, et al.
Published: (2024)
MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation
by: Yu, Qihang, et al.
Published: (2026)
by: Yu, Qihang, et al.
Published: (2026)
Reasoning to Rank: An End-to-End Solution for Exploiting Large Language Models for Recommendation
by: Zheng, Kehan, et al.
Published: (2026)
by: Zheng, Kehan, et al.
Published: (2026)
Reinforced Preference Optimization for Recommendation
by: Tan, Junfei, et al.
Published: (2025)
by: Tan, Junfei, et al.
Published: (2025)
HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential Recommendation
by: Xin, Lei, et al.
Published: (2026)
by: Xin, Lei, et al.
Published: (2026)
Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation
by: Lin, Xiao, et al.
Published: (2026)
by: Lin, Xiao, et al.
Published: (2026)
User Invariant Preference Learning for Multi-Behavior Recommendation
by: Yan, Mingshi, et al.
Published: (2025)
by: Yan, Mingshi, et al.
Published: (2025)
End-to-End Semantic ID Generation for Generative Advertisement Recommendation
by: Jiang, Jie, et al.
Published: (2026)
by: Jiang, Jie, et al.
Published: (2026)
LiCoMemory: Lightweight and Cognitive Agentic Memory for Efficient Long-Term Reasoning
by: Huang, Zhengjun, et al.
Published: (2025)
by: Huang, Zhengjun, et al.
Published: (2025)
SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation
by: Guo, Jie, et al.
Published: (2025)
by: Guo, Jie, et al.
Published: (2025)
User Long-Term Multi-Interest Retrieval Model for Recommendation
by: Meng, Yue, et al.
Published: (2025)
by: Meng, Yue, et al.
Published: (2025)
Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai
by: Feng, Zhichao, et al.
Published: (2024)
by: Feng, Zhichao, et al.
Published: (2024)
LISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential Recommendation
by: Xin, Haidong, et al.
Published: (2025)
by: Xin, Haidong, et al.
Published: (2025)
S-GRec: Personalized Semantic-Aware Generative Recommendation with Asymmetric Advantage
by: Jiang, Jie, et al.
Published: (2026)
by: Jiang, Jie, et al.
Published: (2026)
Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
by: Yan, Mingshi, et al.
Published: (2024)
by: Yan, Mingshi, et al.
Published: (2024)
LongRetriever: Towards Ultra-Long Sequence based Candidate Retrieval for Recommendation
by: Ren, Qin, et al.
Published: (2025)
by: Ren, Qin, et al.
Published: (2025)
Reinforced Preference Optimization for Reasoning-Augmented Recommendations
by: Gao, Jingtong, et al.
Published: (2026)
by: Gao, Jingtong, et al.
Published: (2026)
Sequence-level Semantic Representation Fusion for Recommender Systems
by: Xu, Lanling, et al.
Published: (2024)
by: Xu, Lanling, et al.
Published: (2024)
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders
by: Chai, Zheng, et al.
Published: (2025)
by: Chai, Zheng, 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)
by: Zhou, Yu, et al.
Published: (2026)
OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender
by: Zhang, Zhaoqi, et al.
Published: (2025)
by: Zhang, Zhaoqi, et al.
Published: (2025)
ULMRec: User-centric Large Language Model for Sequential Recommendation
by: Shao, Minglai, et al.
Published: (2024)
by: Shao, Minglai, et al.
Published: (2024)
Proactive Recommendation with Iterative Preference Guidance
by: Bi, Shuxian, et al.
Published: (2024)
by: Bi, Shuxian, et al.
Published: (2024)
Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations
by: Kowald, Dominik, et al.
Published: (2020)
by: Kowald, Dominik, et al.
Published: (2020)
SCoTER: Structured Chain-of-Thought Transfer for Enhanced Recommendation
by: Jiang, Jie, et al.
Published: (2025)
by: Jiang, Jie, et al.
Published: (2025)
Efficient Multi-task Prompt Tuning for Recommendation
by: Bai, Ting, et al.
Published: (2024)
by: Bai, Ting, et al.
Published: (2024)
Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models
by: Dang, Yizhou, et al.
Published: (2026)
by: Dang, Yizhou, et al.
Published: (2026)
On Negative-aware Preference Optimization for Recommendation
by: Ding, Chenlu, et al.
Published: (2025)
by: Ding, Chenlu, et al.
Published: (2025)
DynamicPO: Dynamic Preference Optimization for Recommendation
by: Hu, Xingyu, et al.
Published: (2026)
by: Hu, Xingyu, 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)
RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation
by: Yu, Xiaohan, et al.
Published: (2024)
by: Yu, Xiaohan, et al.
Published: (2024)
Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation
by: Zhu, Bangguo, et al.
Published: (2026)
by: Zhu, Bangguo, et al.
Published: (2026)
MEIC-DT: Memory-Efficient Incremental Clustering for Long-Text Coreference Resolution with Dual-Threshold Constraints
by: Luo, Kangyang, et al.
Published: (2025)
by: Luo, Kangyang, et al.
Published: (2025)
Vague Preference Policy Learning for Conversational Recommendation
by: Zhang, Gangyi, et al.
Published: (2023)
by: Zhang, Gangyi, et al.
Published: (2023)
Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation
by: Wang, Li, et al.
Published: (2024)
by: Wang, Li, et al.
Published: (2024)
Similar Items
-
Internalizing Multi-Agent Reasoning for Accurate and Efficient LLM-based Recommendation
by: Wu, Yang, et al.
Published: (2026) -
GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation
by: Zhang, Jun, et al.
Published: (2025) -
Long-Sequence Recommendation Models Need Decoupled Embeddings
by: Feng, Ningya, et al.
Published: (2024) -
FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation
by: Peng, Qiyao, et al.
Published: (2025) -
ICPE: An Item Cluster-Wise Pareto-Efficient Framework for Recommendation Debiasing
by: Wang, Yule, et al.
Published: (2021)