Cover Image

OTCR: Optimal Transmission, Compression and Representation for Multimodal Information Extraction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yang, Wang, Yajiao, Hu, Wenhao, Zhang, Zhixiong, Zhang, Mengting
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Multimedia
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HistLLM: A Unified Framework for LLM-Based Multimodal Recommendation with User History Encoding and Compression
by: Zhang, Chen, et al.
Published: (2025)

DREAM: A Dual Representation Learning Model for Multimodal Recommendation
by: Zhang, Kangning, et al.
Published: (2024)

The 2nd EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval
by: Fu, Junchen, et al.
Published: (2026)

REMOTE: A Unified Multimodal Relation Extraction Framework with Multilevel Optimal Transport and Mixture-of-Experts
by: Lin, Xinkui, et al.
Published: (2025)

Learning Item Representations Directly from Multimodal Features for Effective Recommendation
by: Zhou, Xin, et al.
Published: (2025)

Attribute-driven Disentangled Representation Learning for Multimodal Recommendation
by: Li, Zhenyang, et al.
Published: (2023)

Breaking the Curse of Knowledge: Towards Effective Multimodal Recommendation using Knowledge Soft Integration
by: Ouyang, Kai, et al.
Published: (2023)

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions
by: Xu, Jinfeng, et al.
Published: (2025)

Modality-Aware Identity Construction and Counterfactual Structure Learning for ID-Free Multimodal Recommendation
by: Ma, Hongjian, et al.
Published: (2026)

Frozen LVLMs for Micro-Video Recommendation: A Systematic Study of Feature Extraction and Fusion
by: Sun, Huatuan, et al.
Published: (2025)

Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation
by: Ong, Rongqing Kenneth, et al.
Published: (2024)

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
by: Liu, Qijiong, et al.
Published: (2024)

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

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

Beyond Static Collision Handling: Adaptive Semantic ID Learning for Multimodal Recommendation at Industrial Scale
by: Pan, Yongsen, et al.
Published: (2026)

Does Multimodality Improve Recommender Systems as Expected? A Critical Analysis and Future Directions
by: Zhou, Hongyu, et al.
Published: (2025)

CM$^3$: Calibrating Multimodal Recommendation
by: Zhou, Xin, et al.
Published: (2025)

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

Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network
by: Chen, Zheyu, et al.
Published: (2024)

MMSRARec: Summarization and Retrieval Augumented Sequential Recommendation Based on Multimodal Large Language Model
by: Wang, Haoyu, et al.
Published: (2025)

From ID-based to ID-free: Rethinking ID Effectiveness in Multimodal Collaborative Filtering Recommendation
by: Li, Guohao, et al.
Published: (2025)

Multimodal Learned Sparse Retrieval for Image Suggestion
by: Nguyen, Thong, et al.
Published: (2024)

Personalized Image Generation with Large Multimodal Models
by: Xu, Yiyan, et al.
Published: (2024)

Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions
by: Wang, Tianshi, et al.
Published: (2023)

Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation with Interpretability
by: Zhou, Xin, et al.
Published: (2024)

Music4All A+A: A Multimodal Dataset for Music Information Retrieval Tasks
by: Geiger, Jonas, et al.
Published: (2025)

Multimodal Graph Neural Network for Recommendation with Dynamic De-redundancy and Modality-Guided Feature De-noisy
by: Mo, Feng, et al.
Published: (2024)

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval
by: Kong, Fanheng, et al.
Published: (2025)

Small Stickers, Big Meanings: A Multilingual Sticker Semantic Understanding Dataset with a Gamified Approach
by: Chee, Heng Er Metilda, et al.
Published: (2025)

Balancing Semantic Relevance and Engagement in Related Video Recommendations
by: Jaspal, Amit, et al.
Published: (2025)

Information Need in Metaverse Recordings -- A Field Study
by: Steinert, Patrick, et al.
Published: (2024)

U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and Personalization
by: Chee, Heng Er Metilda, et al.
Published: (2025)

Semantic Item Graph Enhancement for Multimodal Recommendation
by: Zhang, Xiaoxiong, et al.
Published: (2025)

Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision
by: Solaiman, KMA, et al.
Published: (2025)

Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning
by: Bin, Yi, et al.
Published: (2024)

FashionDPO:Fine-tune Fashion Outfit Generation Model using Direct Preference Optimization
by: Yu, Mingzhe, et al.
Published: (2025)

PianoBind: A Multimodal Joint Embedding Model for Pop-piano Music
by: Bang, Hayeon, et al.
Published: (2025)

MDF: A Dynamic Fusion Model for Multi-modal Fake News Detection
by: Lv, Hongzhen, et al.
Published: (2024)

StePO-Rec: Towards Personalized Outfit Styling Assistant via Knowledge-Guided Multi-Step Reasoning
by: Bi, Yuxi, et al.
Published: (2025)

Enhancing Image-Text Matching with Adaptive Feature Aggregation
by: Wang, Zuhui, et al.
Published: (2024)