HyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Kunrong, Sun, Zhu, Lim, Kwan Hui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RALLM-POI: Retrieval-Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking
by: Li, Kunrong, et al.
Published: (2025)
by: Li, Kunrong, et al.
Published: (2025)
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation
by: Zhang, Shengzhe, et al.
Published: (2025)
by: Zhang, Shengzhe, et al.
Published: (2025)
RGAlign-Rec: Ranking-Guided Alignment for Latent Query Reasoning in Recommendation Systems
by: Liu, Junhua, et al.
Published: (2026)
by: Liu, Junhua, et al.
Published: (2026)
HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential Recommendation
by: Xin, Lei, et al.
Published: (2026)
by: Xin, Lei, et al.
Published: (2026)
GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation
by: Tang, Fei, et al.
Published: (2024)
by: Tang, Fei, et al.
Published: (2024)
Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation
by: Lin, Xiao, et al.
Published: (2026)
by: Lin, Xiao, et al.
Published: (2026)
Multi-modal Adaptive Mixture of Experts for Cold-start Recommendation
by: Nguyen, Van-Khang, et al.
Published: (2025)
by: Nguyen, Van-Khang, et al.
Published: (2025)
Sequential Recommendation on Temporal Proximities with Contrastive Learning and Self-Attention
by: Jung, Hansol, et al.
Published: (2024)
by: Jung, Hansol, et al.
Published: (2024)
A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation
by: Kim, Kyungho, et al.
Published: (2025)
by: Kim, Kyungho, et al.
Published: (2025)
Slow Thinking for Sequential Recommendation
by: Zhang, Junjie, et al.
Published: (2025)
by: Zhang, Junjie, et al.
Published: (2025)
Distillation-based Scenario-Adaptive Mixture-of-Experts for the Matching Stage of Multi-scenario Recommendation
by: Wang, Ruibing, et al.
Published: (2025)
by: Wang, Ruibing, et al.
Published: (2025)
MTmixAtt: Integrating Mixture-of-Experts with Multi-Mix Attention for Large-Scale Recommendation
by: Qi, Xianyang, et al.
Published: (2025)
by: Qi, Xianyang, et al.
Published: (2025)
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
by: Ye, Yuyang, et al.
Published: (2024)
by: Ye, Yuyang, et al.
Published: (2024)
DELRec: Distilling Sequential Pattern to Enhance LLMs-based Sequential Recommendation
by: Zhang, Haoyi, et al.
Published: (2024)
by: Zhang, Haoyi, et al.
Published: (2024)
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
by: Zhang, Zijian, et al.
Published: (2024)
by: Zhang, Zijian, et al.
Published: (2024)
Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation
by: Wei, Zhifu, et al.
Published: (2026)
by: Wei, Zhifu, et al.
Published: (2026)
Intent-Enhanced Data Augmentation for Sequential Recommendation
by: Chen, Shuai, et al.
Published: (2024)
by: Chen, Shuai, et al.
Published: (2024)
Multimodal Enhancement of Sequential Recommendation
by: Sahyouni, Bucher, et al.
Published: (2026)
by: Sahyouni, Bucher, et al.
Published: (2026)
VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation
by: Kim, Junyoung, et al.
Published: (2026)
by: Kim, Junyoung, et al.
Published: (2026)
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
HyST: LLM-Powered Hybrid Retrieval over Semi-Structured Tabular Data
by: Myung, Jiyoon, et al.
Published: (2025)
by: Myung, Jiyoon, et al.
Published: (2025)
Investigating Mixture of Experts in Dense Retrieval
by: Sokli, Effrosyni, et al.
Published: (2024)
by: Sokli, Effrosyni, et al.
Published: (2024)
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
by: Kong, Xiaoyu, et al.
Published: (2024)
by: Kong, Xiaoyu, et al.
Published: (2024)
DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation
by: Cheng, Jiawei, et al.
Published: (2026)
by: Cheng, Jiawei, et al.
Published: (2026)
Unifying Generative and Dense Retrieval for Sequential Recommendation
by: Yang, Liu, et al.
Published: (2024)
by: Yang, Liu, et al.
Published: (2024)
TokenFormer: Unify the Multi-Field and Sequential Recommendation Worlds
by: Zhou, Yifeng, et al.
Published: (2026)
by: Zhou, Yifeng, et al.
Published: (2026)
Denoising Long- and Short-term Interests for Sequential Recommendation
by: Zhang, Xinyu, et al.
Published: (2024)
by: Zhang, Xinyu, et al.
Published: (2024)
An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation
by: Han, Haoyu, et al.
Published: (2026)
by: Han, Haoyu, et al.
Published: (2026)
Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling
by: Zou, Jie, et al.
Published: (2024)
by: Zou, Jie, et al.
Published: (2024)
BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation
by: Li, Weixin, et al.
Published: (2024)
by: Li, Weixin, et al.
Published: (2024)
Debiasing Sequential Recommendation with Time-aware Inverse Propensity Scoring
by: Huang, Sirui, et al.
Published: (2026)
by: Huang, Sirui, et al.
Published: (2026)
Unbiased Rectification for Sequential Recommender Systems Under Fake Orders
by: Qin, Qiyu, et al.
Published: (2026)
by: Qin, Qiyu, et al.
Published: (2026)
Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
by: Shan, Rong, et al.
Published: (2025)
by: Shan, Rong, et al.
Published: (2025)
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
by: Cui, Ziqiang, et al.
Published: (2025)
by: Cui, Ziqiang, et al.
Published: (2025)
Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts
by: Zou, Jie, et al.
Published: (2025)
by: Zou, Jie, et al.
Published: (2025)
CausalRec: A CausalBoost Attention Model for Sequential Recommendation
by: Hou, Yunbo, et al.
Published: (2025)
by: Hou, Yunbo, et al.
Published: (2025)
HyQE: Ranking Contexts with Hypothetical Query Embeddings
by: Zhou, Weichao, et al.
Published: (2024)
by: Zhou, Weichao, et al.
Published: (2024)
Dual Conditional Diffusion Models for Sequential Recommendation
by: Huang, Hongtao, et al.
Published: (2024)
by: Huang, Hongtao, et al.
Published: (2024)
On-Device Large Language Models for Sequential Recommendation
by: Xia, Xin, et al.
Published: (2026)
by: Xia, Xin, et al.
Published: (2026)
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation
by: Su, Jiajie, et al.
Published: (2024)
by: Su, Jiajie, et al.
Published: (2024)
Similar Items
-
RALLM-POI: Retrieval-Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking
by: Li, Kunrong, et al.
Published: (2025) -
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation
by: Zhang, Shengzhe, et al.
Published: (2025) -
RGAlign-Rec: Ranking-Guided Alignment for Latent Query Reasoning in Recommendation Systems
by: Liu, Junhua, et al.
Published: (2026) -
HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential Recommendation
by: Xin, Lei, et al.
Published: (2026) -
GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation
by: Tang, Fei, et al.
Published: (2024)