Imagen de Portada

A Pre-trained Sequential Recommendation Framework: Popularity Dynamics for Zero-shot Transfer

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Junting, Rathi, Praneet, Sundaram, Hari
Formato:	Preprint
Publicado:	2024
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation
por: Li, Yunzhe, et al.
Publicado: (2025)

Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning
por: Zhang, Lingzi, et al.
Publicado: (2023)

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

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

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

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

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

Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation
por: Zhang, Lingzi, et al.
Publicado: (2024)

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
por: Wang, Yuhao, et al.
Publicado: (2024)

Enhancing Sequential Music Recommendation with Personalized Popularity Awareness
por: Abbattista, Davide, et al.
Publicado: (2024)

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

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

Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items
por: Wang, Junting, et al.
Publicado: (2025)

From Transfer to Collaboration: A Federated Framework for Cross-Market Sequential Recommendation
por: Chen, Jundong, et al.
Publicado: (2026)

Curriculum-scheduled Knowledge Distillation from Multiple Pre-trained Teachers for Multi-domain Sequential Recommendation
por: Sun, Wenqi, et al.
Publicado: (2024)

Facet-Aware Multi-Head Mixture-of-Experts Model with Text-Enhanced Pre-training for Sequential Recommendation
por: Liu, Mingrui, et al.
Publicado: (2026)

TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models
por: Zhang, Honglei, et al.
Publicado: (2024)

ID-centric Pre-training for Recommendation
por: Wu, Yiqing, et al.
Publicado: (2024)

A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
por: Wang, Zhikai, et al.
Publicado: (2025)

DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation
por: Shao, Yifan, et al.
Publicado: (2025)

Dual-disentangle Framework for Diversified Sequential Recommendation
por: Zhang, Haoran, et al.
Publicado: (2025)

Towards Popularity-Aware Recommendation: A Multi-Behavior Enhanced Framework with Orthogonality Constraint
por: Han, Yishan, et al.
Publicado: (2024)

ColBERT-Zero: To Pre-train Or Not To Pre-train ColBERT models
por: Chaffin, Antoine, et al.
Publicado: (2026)

Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework
por: Li, Xiping, et al.
Publicado: (2026)

Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation
por: Li, Yuanzi, et al.
Publicado: (2026)

Pre-trained Recommender Systems: A Causal Debiasing Perspective
por: Lin, Ziqian, et al.
Publicado: (2023)

Towards Transfer-Efficient Multi-modal Sequential Recommendation with State Space Duality
por: Fan, Hao, et al.
Publicado: (2025)

A Zero-shot Explainable Doctor Ranking Framework with Large Language Models
por: Zeng, Ziyang, et al.
Publicado: (2025)

Transferable Sequential Recommendation via Vector Quantized Meta Learning
por: Yue, Zhenrui, et al.
Publicado: (2024)

A Survey on Sequential Recommendation
por: Pan, Liwei, et al.
Publicado: (2024)

SRLF: An Agent-Driven Set-Wise Reflective Learning Framework for Sequential Recommendation
por: Wang, Jiahao, et al.
Publicado: (2025)

Debiasing Recommendation with Personal Popularity
por: Ning, Wentao, et al.
Publicado: (2024)

GENET: Unleashing the Power of Side Information for Recommendation via Hypergraph Pre-training
por: Li, Yang, et al.
Publicado: (2023)

Dataset Regeneration for Sequential Recommendation
por: Yin, Mingjia, et al.
Publicado: (2024)

Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation
por: Xia, Jiafeng, et al.
Publicado: (2024)

TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer
por: Chen, Yiwen, et al.
Publicado: (2025)

Pre-training for Recommendation Unlearning
por: Chen, Guoxuan, et al.
Publicado: (2025)

Cross-Representation Knowledge Transfer for Improved Sequential Recommendations
por: Gimranov, Artur, et al.
Publicado: (2026)

LARES: Latent Reasoning for Sequential Recommendation
por: Liu, Enze, et al.
Publicado: (2025)

DMESR: Dual-view MLLM-based Enhancing Framework for Multimodal Sequential Recommendation
por: Huang, Mingyao, et al.
Publicado: (2026)