The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation
Fuente:
arXiv
Guardado en:
| Autores principales: | Qu, Zekai, Xie, Ruobing, Xiao, Chaojun, Sun, Xingwu, Kang, Zhanhui |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training
por: Ma, Haokai, et al.
Publicado: (2025)
por: Ma, Haokai, et al.
Publicado: (2025)
ID-centric Pre-training for Recommendation
por: Wu, Yiqing, et al.
Publicado: (2024)
por: Wu, Yiqing, et al.
Publicado: (2024)
Plug-in Diffusion Model for Sequential Recommendation
por: Ma, Haokai, et al.
Publicado: (2024)
por: Ma, Haokai, et al.
Publicado: (2024)
Multi-Grained Patch Training for Efficient LLM-based Recommendation
por: Liao, Jiayi, et al.
Publicado: (2025)
por: Liao, Jiayi, et al.
Publicado: (2025)
Negative Sampling in Recommendation: A Survey and Future Directions
por: Ma, Haokai, et al.
Publicado: (2024)
por: Ma, Haokai, et al.
Publicado: (2024)
RosePO: Aligning LLM-based Recommenders with Human Values
por: Liao, Jiayi, et al.
Publicado: (2024)
por: Liao, Jiayi, et al.
Publicado: (2024)
Curriculum-scheduled Knowledge Distillation from Multiple Pre-trained Teachers for Multi-domain Sequential Recommendation
por: Sun, Wenqi, et al.
Publicado: (2024)
por: Sun, Wenqi, et al.
Publicado: (2024)
Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation
por: Zhang, Changshuo, et al.
Publicado: (2024)
por: Zhang, Changshuo, et al.
Publicado: (2024)
Rethinking Large Language Model Architectures for Sequential Recommendations
por: Wang, Hanbing, et al.
Publicado: (2024)
por: Wang, Hanbing, et al.
Publicado: (2024)
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
por: Li, Li, et al.
Publicado: (2024)
por: Li, Li, et al.
Publicado: (2024)
Personalized Prompt for Sequential Recommendation
por: Wu, Yiqing, et al.
Publicado: (2022)
por: Wu, Yiqing, et al.
Publicado: (2022)
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback
por: Xv, Guipeng, et al.
Publicado: (2024)
por: Xv, Guipeng, et al.
Publicado: (2024)
Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
por: Wang, Yuhao, et al.
Publicado: (2024)
por: Wang, Yuhao, et al.
Publicado: (2024)
Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model
por: Wang, Sirui, et al.
Publicado: (2024)
por: Wang, Sirui, et al.
Publicado: (2024)
To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models
por: Wang, Zhefan, et al.
Publicado: (2024)
por: Wang, Zhefan, et al.
Publicado: (2024)
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training
por: Jiang, Juyong, et al.
Publicado: (2021)
por: Jiang, Juyong, et al.
Publicado: (2021)
Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning
por: Zhang, Lingzi, et al.
Publicado: (2023)
por: Zhang, Lingzi, et al.
Publicado: (2023)
Facet-Aware Multi-Head Mixture-of-Experts Model with Text-Enhanced Pre-training for Sequential Recommendation
por: Liu, Mingrui, et al.
Publicado: (2026)
por: Liu, Mingrui, et al.
Publicado: (2026)
PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information
por: Song, Chonggang, et al.
Publicado: (2024)
por: Song, Chonggang, et al.
Publicado: (2024)
A Pre-trained Sequential Recommendation Framework: Popularity Dynamics for Zero-shot Transfer
por: Wang, Junting, et al.
Publicado: (2024)
por: Wang, Junting, et al.
Publicado: (2024)
Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation
por: Zhang, Lingzi, et al.
Publicado: (2024)
por: Zhang, Lingzi, et al.
Publicado: (2024)
Towards Empathetic Conversational Recommender Systems
por: Zhang, Xiaoyu, et al.
Publicado: (2024)
por: Zhang, Xiaoyu, et al.
Publicado: (2024)
Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework
por: Han, Ruidong, et al.
Publicado: (2024)
por: Han, Ruidong, et al.
Publicado: (2024)
TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models
por: Zhang, Honglei, et al.
Publicado: (2024)
por: Zhang, Honglei, et al.
Publicado: (2024)
Sequential Recommendation with Latent Relations based on Large Language Model
por: Yang, Shenghao, et al.
Publicado: (2024)
por: Yang, Shenghao, et al.
Publicado: (2024)
Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation
por: Qu, Yuanpeng, et al.
Publicado: (2025)
por: Qu, Yuanpeng, et al.
Publicado: (2025)
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions
por: Xu, Wujiang, et al.
Publicado: (2023)
por: Xu, Wujiang, et al.
Publicado: (2023)
PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations
por: He, Ruining, et al.
Publicado: (2025)
por: He, Ruining, et al.
Publicado: (2025)
Rethinking Convolutional Networks for Attribute-Aware Sequential Recommendation
por: Elsayed, Shereen, et al.
Publicado: (2026)
por: Elsayed, Shereen, et al.
Publicado: (2026)
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks
por: Zhang, Kaike, et al.
Publicado: (2024)
por: Zhang, Kaike, et al.
Publicado: (2024)
ULMRec: User-centric Large Language Model for Sequential Recommendation
por: Shao, Minglai, et al.
Publicado: (2024)
por: Shao, Minglai, et al.
Publicado: (2024)
Harnessing Large Language Models for Text-Rich Sequential Recommendation
por: Zheng, Zhi, et al.
Publicado: (2024)
por: Zheng, Zhi, et al.
Publicado: (2024)
Pre-train and Fine-tune: Recommenders as Large Models
por: Jiang, Zhenhao, et al.
Publicado: (2025)
por: Jiang, Zhenhao, et al.
Publicado: (2025)
Enhancing Recommender Systems Using Textual Embeddings from Pre-trained Language Models
por: Le, Ngoc Luyen, et al.
Publicado: (2025)
por: Le, Ngoc Luyen, et al.
Publicado: (2025)
Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation
por: Liu, Hongyang, et al.
Publicado: (2025)
por: Liu, Hongyang, et al.
Publicado: (2025)
Large Language Models are Zero-Shot Rankers for Recommender Systems
por: Hou, Yupeng, et al.
Publicado: (2023)
por: Hou, Yupeng, et al.
Publicado: (2023)
CSRec: Rethinking Sequential Recommendation from A Causal Perspective
por: Liu, Xiaoyu, et al.
Publicado: (2024)
por: Liu, Xiaoyu, et al.
Publicado: (2024)
A Survey on Causal Inference for Recommendation
por: Luo, Huishi, et al.
Publicado: (2023)
por: Luo, Huishi, et al.
Publicado: (2023)
GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation
por: Zhang, Jun, et al.
Publicado: (2025)
por: Zhang, Jun, et al.
Publicado: (2025)
Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
por: Wang, Yu, et al.
Publicado: (2025)
por: Wang, Yu, et al.
Publicado: (2025)
Ejemplares similares
-
Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training
por: Ma, Haokai, et al.
Publicado: (2025) -
ID-centric Pre-training for Recommendation
por: Wu, Yiqing, et al.
Publicado: (2024) -
Plug-in Diffusion Model for Sequential Recommendation
por: Ma, Haokai, et al.
Publicado: (2024) -
Multi-Grained Patch Training for Efficient LLM-based Recommendation
por: Liao, Jiayi, et al.
Publicado: (2025) -
Negative Sampling in Recommendation: A Survey and Future Directions
por: Ma, Haokai, et al.
Publicado: (2024)