Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yuhao, Pan, Junwei, Li, Xinhang, Wang, Maolin, Wang, Yuan, Liu, Yue, Liu, Dapeng, Jiang, Jie, Zhao, Xiangyu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
by: Wu, Tongzhou, et al.
Published: (2025)
by: Wu, Tongzhou, et al.
Published: (2025)
Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
by: Wang, Yuhao, et al.
Published: (2024)
by: Wang, Yuhao, et al.
Published: (2024)
The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation
by: Liu, Ziwei, et al.
Published: (2025)
by: Liu, Ziwei, et al.
Published: (2025)
DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System
by: Ye, Wencai, et al.
Published: (2025)
by: Ye, Wencai, et al.
Published: (2025)
DOS: Dual-Flow Orthogonal Semantic IDs for Recommendation in Meituan
by: Yin, Junwei, et al.
Published: (2026)
by: Yin, Junwei, et al.
Published: (2026)
Decoupled Residual Quantization for Robust Semantic IDs in Recommendation
by: Wang, Xuesi, et al.
Published: (2026)
by: Wang, Xuesi, et al.
Published: (2026)
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2024)
by: Liu, Qidong, et al.
Published: (2024)
Generative Recommendation with Semantic IDs: A Practitioner's Handbook
by: Ju, Clark Mingxuan, et al.
Published: (2025)
by: Ju, Clark Mingxuan, et al.
Published: (2025)
Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model
by: Cui, Yu, et al.
Published: (2024)
by: Cui, Yu, et al.
Published: (2024)
Rethinking Large Language Model Architectures for Sequential Recommendations
by: Wang, Hanbing, et al.
Published: (2024)
by: Wang, Hanbing, et al.
Published: (2024)
When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study
by: Qiao, Shutong, et al.
Published: (2026)
by: Qiao, Shutong, et al.
Published: (2026)
HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs
by: Fang, Dengzhao, et al.
Published: (2025)
by: Fang, Dengzhao, et al.
Published: (2025)
Semantic IDs for Music Recommendation
by: Mei, M. Jeffrey, et al.
Published: (2025)
by: Mei, M. Jeffrey, et al.
Published: (2025)
Large Language Model Enhanced Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2024)
by: Liu, Qidong, et al.
Published: (2024)
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
by: Wang, Maolin, et al.
Published: (2025)
by: Wang, Maolin, et al.
Published: (2025)
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness
by: Cheng, Mingyue, et al.
Published: (2024)
by: Cheng, Mingyue, et al.
Published: (2024)
Generating Long Semantic IDs in Parallel for Recommendation
by: Hou, Yupeng, et al.
Published: (2025)
by: Hou, Yupeng, et al.
Published: (2025)
Semantic IDs for Joint Generative Search and Recommendation
by: Penha, Gustavo, et al.
Published: (2025)
by: Penha, Gustavo, et al.
Published: (2025)
From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization
by: Hu, Peiyu, et al.
Published: (2025)
by: Hu, Peiyu, et al.
Published: (2025)
Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
Reasoning over Semantic IDs Enhances Generative Recommendation
by: He, Yingzhi, et al.
Published: (2026)
by: He, Yingzhi, et al.
Published: (2026)
Conditional Memory Enhanced Item Representation for Generative Recommendation
by: Liu, Ziwei, et al.
Published: (2026)
by: Liu, Ziwei, et al.
Published: (2026)
GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems
by: Zhang, Sheng, et al.
Published: (2024)
by: Zhang, Sheng, et al.
Published: (2024)
MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
by: Zhang, Sheng, et al.
Published: (2026)
by: Zhang, Sheng, et al.
Published: (2026)
Unleash the Potential of Long Semantic IDs for Generative Recommendation
by: Xia, Ming, et al.
Published: (2026)
by: Xia, Ming, et al.
Published: (2026)
On the Embedding Collapse when Scaling up Recommendation Models
by: Guo, Xingzhuo, et al.
Published: (2023)
by: Guo, Xingzhuo, et al.
Published: (2023)
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2024)
by: Liu, Qidong, et al.
Published: (2024)
LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System
by: Li, Fengxin, et al.
Published: (2024)
by: Li, Fengxin, et al.
Published: (2024)
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings
by: Hu, Guoqing, et al.
Published: (2025)
by: Hu, Guoqing, et al.
Published: (2025)
Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation
by: Zeng, Yangchen, et al.
Published: (2026)
by: Zeng, Yangchen, et al.
Published: (2026)
MMSRARec: Summarization and Retrieval Augumented Sequential Recommendation Based on Multimodal Large Language Model
by: Wang, Haoyu, et al.
Published: (2025)
by: Wang, Haoyu, et al.
Published: (2025)
Farewell to Item IDs: Unlocking the Scaling Potential of Large Ranking Models via Semantic Tokens
by: Zhao, Zhen, et al.
Published: (2026)
by: Zhao, Zhen, et al.
Published: (2026)
LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training
by: Liu, Ziwei, et al.
Published: (2025)
by: Liu, Ziwei, et al.
Published: (2025)
SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024)
by: Jia, Pengyue, et al.
Published: (2024)
Towards Scalable Semantic Representation for Recommendation
by: Zhang, Taolin, et al.
Published: (2024)
by: Zhang, Taolin, et al.
Published: (2024)
Embedding in Recommender Systems: A Survey
by: Wang, Maolin, et al.
Published: (2023)
by: Wang, Maolin, et al.
Published: (2023)
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
by: Ye, Yuyang, et al.
Published: (2024)
by: Ye, Yuyang, et al.
Published: (2024)
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
by: Su, Liangcai, et al.
Published: (2023)
by: Su, Liangcai, et al.
Published: (2023)
Deep Pattern Network for Click-Through Rate Prediction
by: Zhang, Hengyu, et al.
Published: (2024)
by: Zhang, Hengyu, et al.
Published: (2024)
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)
Similar Items
-
Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
by: Wu, Tongzhou, et al.
Published: (2025) -
Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
by: Wang, Yuhao, et al.
Published: (2024) -
The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation
by: Liu, Ziwei, et al.
Published: (2025) -
DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System
by: Ye, Wencai, et al.
Published: (2025) -
DOS: Dual-Flow Orthogonal Semantic IDs for Recommendation in Meituan
by: Yin, Junwei, et al.
Published: (2026)