Cover Image

It is Never Too Late to Mend: Separate Learning for Multimedia Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Zhuangzhuang, Wang, Zihan, Yang, Yonghui, Bai, Haoyue, Wu, Le
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Less is More: Information Bottleneck Denoised Multimedia Recommendation
by: Yang, Yonghui, et al.
Published: (2025)

Multimodality Invariant Learning for Multimedia-Based New Item Recommendation
by: Bai, Haoyue, et al.
Published: (2024)

Graph Bottlenecked Social Recommendation
by: Yang, Yonghui, et al.
Published: (2024)

Double Correction Framework for Denoising Recommendation
by: He, Zhuangzhuang, et al.
Published: (2024)

Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning
by: Yang, Yonghui, et al.
Published: (2025)

Understanding Embedding Scaling in Collaborative Filtering
by: He, Yicheng, et al.
Published: (2025)

Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning
by: Cai, Miaomiao, et al.
Published: (2025)

Better Late Than Never: Formulating and Benchmarking Recommendation Editing
by: Lai, Chengyu, et al.
Published: (2024)

MLLMRec-R1: Incentivizing Reasoning Capability in Large Language Models for Multimodal Sequential Recommendation
by: Wang, Yu, et al.
Published: (2026)

Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
by: Wang, Yu, et al.
Published: (2025)

Formalizing Multimedia Recommendation through Multimodal Deep Learning
by: Malitesta, Daniele, et al.
Published: (2023)

Modality-Balanced Learning for Multimedia Recommendation
by: Zhang, Jinghao, et al.
Published: (2024)

Sharpness-Aware Poisoning: Enhancing Transferability of Injective Attacks on Recommender Systems
by: Xie, Junsong, et al.
Published: (2026)

A Survey on Generative Recommendation: Data, Model, and Tasks
by: Hou, Min, et al.
Published: (2025)

When SparseMoE Meets Noisy Interactions: An Ensemble View on Denoising Recommendation
by: Chen, Weipu, et al.
Published: (2024)

Knowledge-aware Diffusion-Enhanced Multimedia Recommendation
by: Mo, Xian, et al.
Published: (2025)

CLEAR: Null-Space Projection for Cross-Modal De-Redundancy in Multimodal Recommendation
by: Zhan, Hao, et al.
Published: (2026)

LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation
by: Zhu, Jiarui, et al.
Published: (2023)

A General Framework for Multimodal LLM-Based Multimedia Understanding in Large-Scale Recommendation Systems
by: Zhu, Yiming, et al.
Published: (2026)

Multi-modal Food Recommendation using Clustering and Self-supervised Learning
by: Zhang, Yixin, et al.
Published: (2024)

GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation
by: Cheng, Xinghe, et al.
Published: (2025)

Recommendation Unlearning via Influence Function
by: Zhang, Yang, et al.
Published: (2023)

BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
by: Fan, Qile, et al.
Published: (2024)

Efficient Multi-task Prompt Tuning for Recommendation
by: Bai, Ting, et al.
Published: (2024)

Multi-Behavior Generative Recommendation
by: Liu, Zihan, et al.
Published: (2024)

Diffusion-based Contrastive Learning for Sequential Recommendation
by: Cui, Ziqiang, et al.
Published: (2024)

Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
by: Wang, Zihan, et al.
Published: (2025)

RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation
by: Hou, Min, et al.
Published: (2025)

Align-for-Fusion: Harmonizing Triple Preferences via Dual-oriented Diffusion for Cross-domain Sequential Recommendation
by: Zha, Yongfu, et al.
Published: (2025)

Compute Only Once: UG-Separation for Efficient Large Recommendation Models
by: Lu, Hui, et al.
Published: (2026)

Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
by: Cai, Miaomiao, et al.
Published: (2024)

Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation
by: Zheng, Bowen, et al.
Published: (2024)

Factorized Latent Reasoning for LLM-based Recommendation
by: Gao, Tianqi, et al.
Published: (2026)

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
by: Zhao, Jujia, et al.
Published: (2026)

LLaRA: Large Language-Recommendation Assistant
by: Liao, Jiayi, et al.
Published: (2023)

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning
by: Bao, Keqin, et al.
Published: (2024)

Addressing Missing Data Issue for Diffusion-based Recommendation
by: Mao, Wenyu, et al.
Published: (2025)

When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
by: Zhang, Chunxu, et al.
Published: (2023)

Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure
by: Zhao, Ziqi, et al.
Published: (2025)

Retrieval Augmented Conversational Recommendation with Reinforcement Learning
by: Yue, Zhenrui, et al.
Published: (2026)