TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation
Fuente:
arXiv
Guardado en:
| Autores principales: | Yang, Wei, Zhong, Rui, Lin, Zihan, Wang, Xiaodan, Chen, Cheng, Ren, Huan, Hu, Yao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
por: Yang, Wei, et al.
Publicado: (2025)
por: Yang, Wei, et al.
Publicado: (2025)
Denoising Time Cycle Modeling for Recommendation
por: Xie, Sicong, et al.
Publicado: (2024)
por: Xie, Sicong, et al.
Publicado: (2024)
GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation
por: Rabiah, Ahmad Bin, et al.
Publicado: (2025)
por: Rabiah, Ahmad Bin, et al.
Publicado: (2025)
Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation
por: Luo, Yucong, et al.
Publicado: (2024)
por: Luo, Yucong, et al.
Publicado: (2024)
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models
por: Lin, Xueting, et al.
Publicado: (2024)
por: Lin, Xueting, et al.
Publicado: (2024)
Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation
por: Zheng, Bowen, et al.
Publicado: (2024)
por: Zheng, Bowen, et al.
Publicado: (2024)
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
por: Shin, Yehjin, et al.
Publicado: (2025)
por: Shin, Yehjin, et al.
Publicado: (2025)
Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations
por: Hsu, Hung-Chun, et al.
Publicado: (2025)
por: Hsu, Hung-Chun, et al.
Publicado: (2025)
Causality Enhancement for Cross-Domain Recommendation
por: Wu, Zhibo, et al.
Publicado: (2025)
por: Wu, Zhibo, et al.
Publicado: (2025)
Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation
por: Zhang, Fan, et al.
Publicado: (2025)
por: Zhang, Fan, et al.
Publicado: (2025)
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
por: Lin, Siyi, et al.
Publicado: (2024)
por: Lin, Siyi, et al.
Publicado: (2024)
Multimodal Representation-disentangled Information Bottleneck for Multimodal Recommendation
por: Wang, Hui, et al.
Publicado: (2025)
por: Wang, Hui, et al.
Publicado: (2025)
DiffMM: Multi-Modal Diffusion Model for Recommendation
por: Jiang, Yangqin, et al.
Publicado: (2024)
por: Jiang, Yangqin, et al.
Publicado: (2024)
JADE: Bridging the Strategic-Operational Gap in Dynamic Agentic RAG
por: Chen, Yiqun, et al.
Publicado: (2026)
por: Chen, Yiqun, et al.
Publicado: (2026)
An item is worth one token in Multimodal Large Language Models-based Sequential Recommendation
por: Zhong, Qiyong, et al.
Publicado: (2025)
por: Zhong, Qiyong, et al.
Publicado: (2025)
TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation
por: Wang, Qingzhuo, et al.
Publicado: (2026)
por: Wang, Qingzhuo, et al.
Publicado: (2026)
Cross-Modal Attention Network with Dual Graph Learning in Multimodal Recommendation
por: Dai, Ji, et al.
Publicado: (2026)
por: Dai, Ji, et al.
Publicado: (2026)
GemiRec: Interest Quantization and Generation for Multi-Interest Recommendation
por: Wu, Zhibo, et al.
Publicado: (2025)
por: Wu, Zhibo, et al.
Publicado: (2025)
Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System
por: Zhu, Yongchun, et al.
Publicado: (2025)
por: Zhu, Yongchun, et al.
Publicado: (2025)
Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
por: Yang, Zhisheng, et al.
Publicado: (2025)
por: Yang, Zhisheng, et al.
Publicado: (2025)
Multimodal Enhancement of Sequential Recommendation
por: Sahyouni, Bucher, et al.
Publicado: (2026)
por: Sahyouni, Bucher, et al.
Publicado: (2026)
Multimodal Recommender Systems: A Survey
por: Liu, Qidong, et al.
Publicado: (2023)
por: Liu, Qidong, et al.
Publicado: (2023)
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation
por: Zhang, Shengzhe, et al.
Publicado: (2025)
por: Zhang, Shengzhe, et al.
Publicado: (2025)
DynamicPO: Dynamic Preference Optimization for Recommendation
por: Hu, Xingyu, et al.
Publicado: (2026)
por: Hu, Xingyu, et al.
Publicado: (2026)
Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation
por: Su, Jiajie, et al.
Publicado: (2025)
por: Su, Jiajie, et al.
Publicado: (2025)
Representation Learning with Large Language Models for Recommendation
por: Ren, Xubin, et al.
Publicado: (2023)
por: Ren, Xubin, et al.
Publicado: (2023)
Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation
por: Han, Jinkun, et al.
Publicado: (2025)
por: Han, Jinkun, et al.
Publicado: (2025)
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation
por: Hu, Jiaxi, et al.
Publicado: (2024)
por: Hu, Jiaxi, et al.
Publicado: (2024)
Sequences as Nodes for Contrastive Multimodal Graph Recommendation
por: Sahyouni, Bucher, et al.
Publicado: (2026)
por: Sahyouni, Bucher, et al.
Publicado: (2026)
TTT4Rec: A Test-Time Training Approach for Rapid Adaption in Sequential Recommendation
por: Yang, Zhaoqi, et al.
Publicado: (2024)
por: Yang, Zhaoqi, et al.
Publicado: (2024)
Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders
por: Yin, Jun, et al.
Publicado: (2026)
por: Yin, Jun, et al.
Publicado: (2026)
Time Matters: Enhancing Pre-trained News Recommendation Models with Robust User Dwell Time Injection
por: Jiang, Hao, et al.
Publicado: (2024)
por: Jiang, Hao, et al.
Publicado: (2024)
Dual-Phase Playtime-guided Recommendation: Interest Intensity Exploration and Multimodal Random Walks
por: Zhang, Jingmao, et al.
Publicado: (2025)
por: Zhang, Jingmao, et al.
Publicado: (2025)
Gated Multimodal Graph Learning for Personalized Recommendation
por: Liu, Sibei, et al.
Publicado: (2025)
por: Liu, Sibei, et al.
Publicado: (2025)
A Gated Hybrid Contrastive Collaborative Filtering Recommendation
por: da Silva, Eduardo Ferreira, et al.
Publicado: (2026)
por: da Silva, Eduardo Ferreira, et al.
Publicado: (2026)
A Comprehensive Survey on Self-Supervised Learning for Recommendation
por: Ren, Xubin, et al.
Publicado: (2024)
por: Ren, Xubin, et al.
Publicado: (2024)
FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning
por: Yang, Wei, et al.
Publicado: (2026)
por: Yang, Wei, et al.
Publicado: (2026)
Debiasing Sequential Recommendation with Time-aware Inverse Propensity Scoring
por: Huang, Sirui, et al.
Publicado: (2026)
por: Huang, Sirui, et al.
Publicado: (2026)
Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation
por: Zhu, Bangguo, et al.
Publicado: (2026)
por: Zhu, Bangguo, et al.
Publicado: (2026)
Learning to Fast Unrank in Collaborative Filtering Recommendation
por: Zhao, Junpeng, et al.
Publicado: (2025)
por: Zhao, Junpeng, et al.
Publicado: (2025)
Ejemplares similares
-
Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
por: Yang, Wei, et al.
Publicado: (2025) -
Denoising Time Cycle Modeling for Recommendation
por: Xie, Sicong, et al.
Publicado: (2024) -
GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation
por: Rabiah, Ahmad Bin, et al.
Publicado: (2025) -
Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation
por: Luo, Yucong, et al.
Publicado: (2024) -
Enhanced Recommendation Combining Collaborative Filtering and Large Language Models
por: Lin, Xueting, et al.
Publicado: (2024)