Why Generate When You Can Transform? Unleashing Generative Attention for Dynamic Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Yuli, Kong, Wenjun, Luo, Cheng, Ma, Weizhi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pay Attention to Attention for Sequential Recommendation
by: Liu, Yuli, et al.
Published: (2024)
by: Liu, Yuli, et al.
Published: (2024)
Unleash the Potential of Long Semantic IDs for Generative Recommendation
by: Xia, Ming, et al.
Published: (2026)
by: Xia, Ming, et al.
Published: (2026)
FAIR: Focused Attention Is All You Need for Generative Recommendation
by: Xiao, Longtao, et al.
Published: (2025)
by: Xiao, Longtao, et al.
Published: (2025)
Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers
by: Zhang, Zhiyang, et al.
Published: (2026)
by: Zhang, Zhiyang, et al.
Published: (2026)
APAO: Adaptive Prefix-Aware Optimization for Generative Recommendation
by: Yu, Yuanqing, et al.
Published: (2026)
by: Yu, Yuanqing, et al.
Published: (2026)
To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models
by: Wang, Zhefan, et al.
Published: (2024)
by: Wang, Zhefan, et al.
Published: (2024)
Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation
by: He, Zhiyu, et al.
Published: (2025)
by: He, Zhiyu, et al.
Published: (2025)
Unleashing the Potential of Neighbors: Diffusion-based Latent Neighbor Generation for Session-based Recommendation
by: Yang, Yuhan, et al.
Published: (2026)
by: Yang, Yuhan, et al.
Published: (2026)
Recommender for Its Purpose: Repeat and Exploration in Food Delivery Recommendations
by: Li, Jiayu, et al.
Published: (2024)
by: Li, Jiayu, et al.
Published: (2024)
FuXi-Linear: Unleashing the Power of Linear Attention in Long-term Time-aware Sequential Recommendation
by: Ye, Yufei, et al.
Published: (2026)
by: Ye, Yufei, et al.
Published: (2026)
Generative Conversational Recommender System
by: Zhang, Sixiao, et al.
Published: (2026)
by: Zhang, Sixiao, et al.
Published: (2026)
MMGRec: Multimodal Generative Recommendation with Transformer Model
by: Liu, Han, et al.
Published: (2024)
by: Liu, Han, et al.
Published: (2024)
Beyond Interleaving: Causal Attention Reformulations for Generative Recommender Systems
by: Cheng, Hailing
Published: (2026)
by: Cheng, Hailing
Published: (2026)
SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
Dynamic Spectral Denoising with Global-Context Attention for Multi-Behavior Recommendation
by: Cai, Miaomiao, et al.
Published: (2026)
by: Cai, Miaomiao, et al.
Published: (2026)
DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation
by: Shao, Yifan, et al.
Published: (2025)
by: Shao, Yifan, et al.
Published: (2025)
A Universal Sets-level Optimization Framework for Next Set Recommendation
by: Liu, Yuli, et al.
Published: (2024)
by: Liu, Yuli, et al.
Published: (2024)
Understanding Internal Representations of Recommendation Models with Sparse Autoencoders
by: Wang, Jiayin, et al.
Published: (2024)
by: Wang, Jiayin, et al.
Published: (2024)
MACRec: a Multi-Agent Collaboration Framework for Recommendation
by: Wang, Zhefan, et al.
Published: (2024)
by: Wang, Zhefan, et al.
Published: (2024)
OneLive: Dynamically Unified Generative Framework for Live-Streaming Recommendation
by: Wang, Shen, et al.
Published: (2026)
by: Wang, Shen, et al.
Published: (2026)
Attention Calibration for Transformer-based Sequential Recommendation
by: Zhou, Peilin, et al.
Published: (2023)
by: Zhou, Peilin, et al.
Published: (2023)
SRLF: An Agent-Driven Set-Wise Reflective Learning Framework for Sequential Recommendation
by: Wang, Jiahao, et al.
Published: (2025)
by: Wang, Jiahao, et al.
Published: (2025)
Unleashing the Power of Large Language Model for Denoising Recommendation
by: Wang, Shuyao, et al.
Published: (2025)
by: Wang, Shuyao, et al.
Published: (2025)
Can We Predict the Next Question? A Collaborative Filtering Approach to Modeling User Behavior
by: Fu, Bokang, et al.
Published: (2025)
by: Fu, Bokang, et al.
Published: (2025)
A Situation-aware Enhancer for Personalized Recommendation
by: Li, Jiayu, et al.
Published: (2024)
by: Li, Jiayu, et al.
Published: (2024)
Generate and Instantiate What You Prefer: Text-Guided Diffusion for Sequential Recommendation
by: Hu, Guoqing, et al.
Published: (2024)
by: Hu, Guoqing, et al.
Published: (2024)
Sequential Recommendation with Latent Relations based on Large Language Model
by: Yang, Shenghao, et al.
Published: (2024)
by: Yang, Shenghao, et al.
Published: (2024)
Common Sense Enhanced Knowledge-based Recommendation with Large Language Model
by: Yang, Shenghao, et al.
Published: (2024)
by: Yang, Shenghao, et al.
Published: (2024)
Scaling Transformers for Discriminative Recommendation via Generative Pretraining
by: Wang, Chunqi, et al.
Published: (2025)
by: Wang, Chunqi, et al.
Published: (2025)
How Auditing Methodologies Can Impact Our Understanding of YouTube's Recommendation Systems
by: Chandio, Sarmad, et al.
Published: (2023)
by: Chandio, Sarmad, et al.
Published: (2023)
Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations
by: Huang, Junjie, et al.
Published: (2024)
by: Huang, Junjie, et al.
Published: (2024)
ReChorus2.0: A Modular and Task-Flexible Recommendation Library
by: Li, Jiayu, et al.
Published: (2024)
by: Li, Jiayu, et al.
Published: (2024)
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator
by: Yin, Jun, et al.
Published: (2024)
by: Yin, Jun, et al.
Published: (2024)
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
by: Xi, Yunjia, et al.
Published: (2024)
by: Xi, Yunjia, et al.
Published: (2024)
How Well Does Generative Recommendation Generalize?
by: Ding, Yijie, et al.
Published: (2026)
by: Ding, Yijie, et al.
Published: (2026)
When Attention Becomes Exposure in Generative Search
by: Alipour, Shayan, et al.
Published: (2026)
by: Alipour, Shayan, et al.
Published: (2026)
PIT: A Dynamic Personalized Item Tokenizer for End-to-End Generative Recommendation
by: Wang, Huanjie, et al.
Published: (2026)
by: Wang, Huanjie, et al.
Published: (2026)
Semantics Meet Signals: Dual Codebook Representationl Learning for Generative Recommendation
by: Hui, Zheng, et al.
Published: (2025)
by: Hui, Zheng, et al.
Published: (2025)
TADT-CSA: Temporal Advantage Decision Transformer with Contrastive State Abstraction for Generative Recommendation
by: Gao, Xiang, et al.
Published: (2025)
by: Gao, Xiang, et al.
Published: (2025)
When Transformers Meet Recommenders: Integrating Self-Attentive Sequential Recommendation with Fine-Tuned LLMs
by: Liu, Kechen
Published: (2025)
by: Liu, Kechen
Published: (2025)
Similar Items
-
Pay Attention to Attention for Sequential Recommendation
by: Liu, Yuli, et al.
Published: (2024) -
Unleash the Potential of Long Semantic IDs for Generative Recommendation
by: Xia, Ming, et al.
Published: (2026) -
FAIR: Focused Attention Is All You Need for Generative Recommendation
by: Xiao, Longtao, et al.
Published: (2025) -
Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers
by: Zhang, Zhiyang, et al.
Published: (2026) -
APAO: Adaptive Prefix-Aware Optimization for Generative Recommendation
by: Yu, Yuanqing, et al.
Published: (2026)