Copertina

Facet-Aware Multi-Head Mixture-of-Experts Model with Text-Enhanced Pre-training for Sequential Recommendation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Mingrui, Zhang, Sixiao, Long, Cheng
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
di: Liu, Mingrui, et al.
Pubblicazione: (2024)

Generative Conversational Recommender System
di: Zhang, Sixiao, et al.
Pubblicazione: (2026)

Data Watermarking for Sequential Recommender Systems
di: Zhang, Sixiao, et al.
Pubblicazione: (2024)

Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
di: Liu, Mingrui, et al.
Pubblicazione: (2024)

On Mitigating Data Sparsity in Conversational Recommender Systems
di: Zhang, Sixiao, et al.
Pubblicazione: (2025)

Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation
di: Zhang, Shengzhe, et al.
Pubblicazione: (2025)

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

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

Federated Mixture-of-Expert for Non-Overlapped Cross-Domain Sequential Recommendation
di: Liu, Yu, et al.
Pubblicazione: (2025)

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

CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation
di: Xu, Jinfeng, et al.
Pubblicazione: (2026)

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

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

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

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

HyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation
di: Li, Kunrong, et al.
Pubblicazione: (2025)

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

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

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation
di: Lin, Xiao, et al.
Pubblicazione: (2026)

Watermarking Recommender Systems
di: Zhang, Sixiao, et al.
Pubblicazione: (2024)

LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System
di: Li, Fengxin, et al.
Pubblicazione: (2024)

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

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

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

Asymmetric Generative Recommendation via Multi-Expert Projection and Multi-Faceted Hierarchical Quantization
di: Huang, Bin, et al.
Pubblicazione: (2026)

Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts
di: Zou, Jie, et al.
Pubblicazione: (2025)

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

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

Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling
di: Zou, Jie, et al.
Pubblicazione: (2024)

Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation
di: Ye, Xiaoxin, et al.
Pubblicazione: (2025)

TSRec: Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective
di: Quan, Shigang, et al.
Pubblicazione: (2025)

SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation
di: Cui, Yu, et al.
Pubblicazione: (2026)

Semantic Gaussian Mixture Variational Autoencoder for Sequential Recommendation
di: Li, Beibei, et al.
Pubblicazione: (2025)

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
di: Zhang, Zijian, et al.
Pubblicazione: (2024)

PEPT: Expert Finding Meets Personalized Pre-training
di: Peng, Qiyao, et al.
Pubblicazione: (2023)

Latent Factor Modeling with Expert Network for Multi-Behavior Recommendation
di: Yan, Mingshi, et al.
Pubblicazione: (2026)

Mixture-of-Experts Knowledge Graph Retrieval-Augmented Generation for Multi-Agent LLM-based Recommendation
di: Wang, Shijie, et al.
Pubblicazione: (2026)

Improve Temporal Awareness of LLMs for Sequential Recommendation
di: Chu, Zhendong, et al.
Pubblicazione: (2024)

Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential Recommendation
di: Gong, Zhen, et al.
Pubblicazione: (2025)

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