Copertina

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Fu, Junchen, Ge, Xuri, Xin, Xin, Karatzoglou, Alexandros, Arapakis, Ioannis, Wang, Jie, Jose, Joemon M.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation
di: Fu, Junchen, et al.
Pubblicazione: (2024)

The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval
di: Fu, Junchen, et al.
Pubblicazione: (2025)

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

Differentiable Semantic ID for Generative Recommendation
di: Fu, Junchen, et al.
Pubblicazione: (2026)

CROSSAN: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential Recommendation
di: Fu, Junchen, et al.
Pubblicazione: (2025)

Large Language Model driven Policy Exploration for Recommender Systems
di: Wang, Jie, et al.
Pubblicazione: (2025)

Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling
di: Wang, Jie, et al.
Pubblicazione: (2024)

Benchmarking Multimodal Large Language Models for Missing Modality Completion in Product Catalogues
di: Fu, Junchen, et al.
Pubblicazione: (2026)

LLMPopcorn: Exploring LLMs as Assistants for Popular Micro-video Generation
di: Fu, Junchen, et al.
Pubblicazione: (2025)

CFIR: Fast and Effective Long-Text To Image Retrieval for Large Corpora
di: Long, Zijun, et al.
Pubblicazione: (2024)

Hire: Hybrid-modal Interaction with Multiple Relational Enhancements for Image-Text Matching
di: Ge, Xuri, et al.
Pubblicazione: (2024)

Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities
di: Ye, Yu, et al.
Pubblicazione: (2025)

Multimodal Representation Learning Techniques for Comprehensive Facial State Analysis
di: Zheng, Kaiwen, et al.
Pubblicazione: (2025)

R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation
di: Wang, Zihan, et al.
Pubblicazione: (2024)

LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendation
di: Wu, Wangyu, et al.
Pubblicazione: (2025)

Beyond One-Size-Fits-All: A Study of Neural and Behavioural Variability Across Different Recommendation Categories
di: Koutroumpas, Georgios, et al.
Pubblicazione: (2025)

Learning Positional Attention for Sequential Recommendation
di: Luo, Fan, et al.
Pubblicazione: (2024)

Dreaming User Multimodal Representation Guided by The Platonic Representation Hypothesis for Micro-Video Recommendation
di: Lin, Chengzhi, et al.
Pubblicazione: (2024)

PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage
di: Zhang, Wenyi, et al.
Pubblicazione: (2025)

Snap and Diagnose: An Advanced Multimodal Retrieval System for Identifying Plant Diseases in the Wild
di: Wei, Tianqi, et al.
Pubblicazione: (2024)

Image Fusion for Cross-Domain Sequential Recommendation
di: Wu, Wangyu, et al.
Pubblicazione: (2024)

MealRec: Multi-granularity Sequential Modeling via Hierarchical Diffusion Models for Micro-Video Recommendation
di: Dong, Xinxin, et al.
Pubblicazione: (2026)

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
di: De Nadai, Marco, et al.
Pubblicazione: (2025)

Adapting MLLMs for Nuanced Video Retrieval
di: Bagad, Piyush, et al.
Pubblicazione: (2025)

Towards End-to-End Explainable Facial Action Unit Recognition via Vision-Language Joint Learning
di: Ge, Xuri, et al.
Pubblicazione: (2024)

UniNote: A Unified Embedding Model for Multimodal Representation and Ranking
di: Zhao, Jinghan, et al.
Pubblicazione: (2026)

Heterogeneous Graph-based Framework with Disentangled Representations Learning for Multi-target Cross Domain Recommendation
di: Liu, Xiaopeng, et al.
Pubblicazione: (2024)

An Empirical Study of Training ID-Agnostic Multi-modal Sequential Recommenders
di: Li, Youhua, et al.
Pubblicazione: (2024)

PixRec: Leveraging Visual Context for Next-Item Prediction in Sequential Recommendation
di: Chakrabarty, Sayak, et al.
Pubblicazione: (2026)

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation
di: Han, Yongqiang, et al.
Pubblicazione: (2024)

Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding
di: Li, Da, et al.
Pubblicazione: (2025)

Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation
di: Liu, Han, et al.
Pubblicazione: (2025)

OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval
di: Yang, Wei, et al.
Pubblicazione: (2025)

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

X-Reflect: Cross-Reflection Prompting for Multimodal Recommendation
di: Lyu, Hanjia, et al.
Pubblicazione: (2024)

Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
di: Wang, Ximei, et al.
Pubblicazione: (2023)

TalentMine: LLM-Based Extraction and Question-Answering from Multimodal Talent Tables
di: Mannam, Varun, et al.
Pubblicazione: (2025)

Dual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval
di: Wang, Yifan, et al.
Pubblicazione: (2025)

Pretrain-then-Adapt: Uncertainty-Aware Test-Time Adaptation for Text-based Person Search
di: Zhang, Jiahao, et al.
Pubblicazione: (2026)

Identity-Decoupled Anonymization for Visual Evidence in Multi-modal Retrieval-Augmented Generation
di: Cheng, Zehua, et al.
Pubblicazione: (2026)