ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Yuting, Yang, Enneng, Dang, Yizhou, Guo, Guibing, Liu, Qiang, Liang, Yuliang, Jiang, Linying, Wang, Xingwei |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Data Augmentation for Sequential Recommendation: A Survey
by: Dang, Yizhou, et al.
Published: (2024)
by: Dang, Yizhou, et al.
Published: (2024)
Repeated Padding+: Simple yet Effective Data Augmentation Plugin for Sequential Recommendation
by: Dang, Yizhou, et al.
Published: (2024)
by: Dang, Yizhou, et al.
Published: (2024)
Augmenting Sequential Recommendation with Balanced Relevance and Diversity
by: Dang, Yizhou, et al.
Published: (2024)
by: Dang, Yizhou, et al.
Published: (2024)
Self-supervised Hierarchical Representation for Medication Recommendation
by: Liang, Yuliang, et al.
Published: (2024)
by: Liang, Yuliang, et al.
Published: (2024)
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation
by: Dang, Yizhou, et al.
Published: (2025)
by: Dang, Yizhou, et al.
Published: (2025)
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation
by: Liu, Yuting, et al.
Published: (2024)
by: Liu, Yuting, et al.
Published: (2024)
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation
by: Liu, Yuting, et al.
Published: (2024)
by: Liu, Yuting, et al.
Published: (2024)
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
by: Zhao, Chu, et al.
Published: (2024)
by: Zhao, Chu, et al.
Published: (2024)
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
by: Zhao, Chu, et al.
Published: (2024)
by: Zhao, Chu, et al.
Published: (2024)
Hard Negative Sampling via Large Language Models for Recommendation
by: Zhao, Chu, et al.
Published: (2025)
by: Zhao, Chu, et al.
Published: (2025)
Generalized Embedding Machines for Recommender Systems
by: Yang, Enneng, et al.
Published: (2020)
by: Yang, Enneng, et al.
Published: (2020)
Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation
by: Dang, Yizhou, et al.
Published: (2026)
by: Dang, Yizhou, et al.
Published: (2026)
Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation
by: Zhao, Chu, et al.
Published: (2026)
by: Zhao, Chu, et al.
Published: (2026)
Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models
by: Dang, Yizhou, et al.
Published: (2026)
by: Dang, Yizhou, et al.
Published: (2026)
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)
Stealthy Attack on Large Language Model based Recommendation
by: Zhang, Jinghao, et al.
Published: (2024)
by: Zhang, Jinghao, et al.
Published: (2024)
RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation
by: Ling, Run, et al.
Published: (2025)
by: Ling, Run, et al.
Published: (2025)
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings
by: Hu, Guoqing, et al.
Published: (2025)
by: Hu, Guoqing, et al.
Published: (2025)
Coarse-to-Fine Lightweight Meta-Embedding for ID-Based Recommendation
by: Wang, Yang, et al.
Published: (2025)
by: Wang, Yang, et al.
Published: (2025)
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID
by: Zheng, Carolina, et al.
Published: (2025)
by: Zheng, Carolina, et al.
Published: (2025)
Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation
by: Zhang, Lingzi, et al.
Published: (2024)
by: Zhang, Lingzi, et al.
Published: (2024)
MMGRid: Navigating Temporal-aware and Cross-domain Generative Recommendation via Model Merging
by: Wei, Tianjun, et al.
Published: (2026)
by: Wei, Tianjun, et al.
Published: (2026)
Beyond Static Collision Handling: Adaptive Semantic ID Learning for Multimodal Recommendation at Industrial Scale
by: Pan, Yongsen, et al.
Published: (2026)
by: Pan, Yongsen, et al.
Published: (2026)
Self-Supervised Representation Learning with ID-Content Modality Alignment for Sequential Recommendation
by: Zhou, Donglin, et al.
Published: (2025)
by: Zhou, Donglin, et al.
Published: (2025)
Modality-Aware Identity Construction and Counterfactual Structure Learning for ID-Free Multimodal Recommendation
by: Ma, Hongjian, et al.
Published: (2026)
by: Ma, Hongjian, et al.
Published: (2026)
From ID-based to ID-free: Rethinking ID Effectiveness in Multimodal Collaborative Filtering Recommendation
by: Li, Guohao, et al.
Published: (2025)
by: Li, Guohao, et al.
Published: (2025)
Learning ID-free Item Representation with Token Crossing for Multimodal Recommendation
by: Zhang, Kangning, et al.
Published: (2024)
by: Zhang, Kangning, et al.
Published: (2024)
An Empirical Study of Training ID-Agnostic Multi-modal Sequential Recommenders
by: Li, Youhua, et al.
Published: (2024)
by: Li, Youhua, et al.
Published: (2024)
TruthSR: Trustworthy Sequential Recommender Systems via User-generated Multimodal Content
by: Yan, Meng, et al.
Published: (2024)
by: Yan, Meng, et al.
Published: (2024)
Balancing Embedding Spectrum for Recommendation
by: Peng, Shaowen, et al.
Published: (2024)
by: Peng, Shaowen, et al.
Published: (2024)
Serendipitous Recommendation with Multimodal LLM
by: Wang, Haoting, et al.
Published: (2025)
by: Wang, Haoting, et al.
Published: (2025)
Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs
by: Wang, Yuhao, et al.
Published: (2025)
by: Wang, Yuhao, et al.
Published: (2025)
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
by: Peintner, Andreas, et al.
Published: (2025)
by: Peintner, Andreas, et al.
Published: (2025)
Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
by: Yang, Wei, et al.
Published: (2025)
by: Yang, Wei, et al.
Published: (2025)
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning
by: Yang, Enneng, et al.
Published: (2022)
by: Yang, Enneng, et al.
Published: (2022)
CapsID: Soft-Routed Variable-Length Semantic IDs for Generative Recommendation
by: Cheng, Wenzhuo, et al.
Published: (2026)
by: Cheng, Wenzhuo, et al.
Published: (2026)
Multimodal Difference Learning for Sequential Recommendation
by: Li, Changhong, et al.
Published: (2024)
by: Li, Changhong, et al.
Published: (2024)
From Raw Features to Effective Embeddings: A Three-Stage Approach for Multimodal Recipe Recommendation
by: Shin, Jeeho, et al.
Published: (2025)
by: Shin, Jeeho, et al.
Published: (2025)
Content-Based Collaborative Generation for Recommender Systems
by: Wang, Yidan, et al.
Published: (2024)
by: Wang, Yidan, et al.
Published: (2024)
SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation
by: Guo, Jie, et al.
Published: (2025)
by: Guo, Jie, et al.
Published: (2025)
Similar Items
-
Data Augmentation for Sequential Recommendation: A Survey
by: Dang, Yizhou, et al.
Published: (2024) -
Repeated Padding+: Simple yet Effective Data Augmentation Plugin for Sequential Recommendation
by: Dang, Yizhou, et al.
Published: (2024) -
Augmenting Sequential Recommendation with Balanced Relevance and Diversity
by: Dang, Yizhou, et al.
Published: (2024) -
Self-supervised Hierarchical Representation for Medication Recommendation
by: Liang, Yuliang, et al.
Published: (2024) -
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation
by: Dang, Yizhou, et al.
Published: (2025)