Cover Image

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yuhao, Pan, Junwei, Jia, Pengyue, Wang, Wanyu, Wang, Maolin, Feng, Zhixiang, Li, Xiaotian, Jiang, Jie, Zhao, Xiangyu
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs
by: Wang, Yuhao, et al.
Published: (2025)

Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
by: Wu, Tongzhou, et al.
Published: (2025)

MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
by: Zhang, Sheng, 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)

Large Language Model Enhanced Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2024)

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
by: Li, Xiaopeng, et al.
Published: (2024)

LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
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)

SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024)

GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems
by: Zhang, Sheng, et al.
Published: (2024)

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model
by: Cui, Yu, et al.
Published: (2024)

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024)

FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation
by: Wang, Maolin, et al.
Published: (2025)

Pre-train and Fine-tune: Recommenders as Large Models
by: Jiang, Zhenhao, et al.
Published: (2025)

Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation
by: Lin, Zhutian, et al.
Published: (2024)

Rethinking Large Language Model Architectures for Sequential Recommendations
by: Wang, Hanbing, et al.
Published: (2024)

Joint Modeling in Recommendations: A Survey
by: Zhao, Xiangyu, et al.
Published: (2025)

The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation
by: Liu, Ziwei, et al.
Published: (2025)

To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention
by: Zhang, Wenlin, et al.
Published: (2026)

Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation
by: Wen, Yi, et al.
Published: (2025)

LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2024)

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems
by: Liu, Langming, et al.
Published: (2024)

Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training
by: Jiang, Juyong, et al.
Published: (2021)

To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models
by: Wang, Zhefan, et al.
Published: (2024)

Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model
by: Wang, Sirui, et al.
Published: (2024)

TokenFormer: Unify the Multi-Field and Sequential Recommendation Worlds
by: Zhou, Yifeng, et al.
Published: (2026)

Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing
by: Zhang, Wenlin, et al.
Published: (2026)

A Pre-trained Sequential Recommendation Framework: Popularity Dynamics for Zero-shot Transfer
by: Wang, Junting, et al.
Published: (2024)

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2025)

Embedding in Recommender Systems: A Survey
by: Wang, Maolin, et al.
Published: (2023)

The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation
by: Qu, Zekai, et al.
Published: (2024)

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information
by: Song, Chonggang, et al.
Published: (2024)

DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System
by: Ye, Wencai, et al.
Published: (2025)

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
by: Li, Li, et al.
Published: (2024)

UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising
by: Jia, Pengyue, et al.
Published: (2026)

SIGMA: Selective Gated Mamba for Sequential Recommendation
by: Liu, Ziwei, et al.
Published: (2024)

Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework
by: Han, Ruidong, et al.
Published: (2024)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
by: Zhang, Wenlin, et al.
Published: (2024)

SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation
by: Wang, Binhao, et al.
Published: (2025)

Context-Aware Disentanglement for Cross-Domain Sequential Recommendation: A Causal View
by: Wang, Xingzi, et al.
Published: (2026)