Cover Image

Multimodal Pretraining and Generation for Recommendation: A Tutorial

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Jieming, Wu, Chuhan, Zhang, Rui, Dong, Zhenhua
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

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

TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems
by: Wang, Xianquan, et al.
Published: (2025)

CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
by: Zhu, Jieming, et al.
Published: (2024)

RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
by: Zhou, Sashuai, et al.
Published: (2025)

UNGER: Generative Recommendation with A Unified Code via Semantic and Collaborative Integration
by: Xiao, Longtao, et al.
Published: (2025)

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation
by: Wang, Yifan, et al.
Published: (2025)

FAIR: Focused Attention Is All You Need for Generative Recommendation
by: Xiao, Longtao, et al.
Published: (2025)

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time
by: Zhao, Haiyuan, et al.
Published: (2024)

FairFS: Addressing Deep Feature Selection Biases for Recommender System
by: Wang, Xianquan, et al.
Published: (2026)

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration
by: Wang, Ye, et al.
Published: (2024)

RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models
by: Wu, Zhuo, et al.
Published: (2024)

Benchmarking News Recommendation in the Era of Green AI
by: Liu, Qijiong, et al.
Published: (2024)

Learning Multi-Aspect Item Palette: A Semantic Tokenization Framework for Generative Recommendation
by: Liu, Qijiong, et al.
Published: (2024)

Generative Reasoning Recommendation via LLMs
by: Hong, Minjie, et al.
Published: (2025)

Device-Cloud Collaborative Correction for On-Device Recommendation
by: Zhan, Tianyu, et al.
Published: (2025)

Vector Quantization for Recommender Systems: A Review and Outlook
by: Liu, Qijiong, et al.
Published: (2024)

Evaluating Recabilities of Foundation Models: A Multi-Domain, Multi-Dataset Benchmark
by: Liu, Qijiong, et al.
Published: (2025)

PMG : Personalized Multimodal Generation with Large Language Models
by: Shen, Xiaoteng, et al.
Published: (2024)

Scaling Transformers for Discriminative Recommendation via Generative Pretraining
by: Wang, Chunqi, et al.
Published: (2025)

Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data
by: Huang, Junjie, et al.
Published: (2024)

A Contextual-Aware Position Encoding for Sequential Recommendation
by: Yuan, Jun, et al.
Published: (2025)

Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization
by: Liu, Qijiong, et al.
Published: (2023)

Effective Knowledge Transfer for Multi-Task Recommendation Models
by: Cai, Guohao, et al.
Published: (2026)

Bridging Domain Gaps between Pretrained Multimodal Models and Recommendations
by: Zhang, Wenyu, et al.
Published: (2025)

A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions
by: Jiang, Jing, et al.
Published: (2024)

MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation
by: Yu, Qihang, et al.
Published: (2026)

EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
by: Hong, Minjie, et al.
Published: (2025)

Beyond Utility: Evaluating LLM as Recommender
by: Jiang, Chumeng, et al.
Published: (2024)

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

A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
by: Liu, Qidong, et al.
Published: (2024)

CART: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling
by: Fang, Minghui, et al.
Published: (2024)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
by: Zhang, Wenlin, et al.
Published: (2024)

MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation
by: Bian, Zhipeng, et al.
Published: (2025)

Evaluating Conversational Recommender Systems via Large Language Models: A User-Centric Framework
by: Chen, Nuo, et al.
Published: (2025)

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models
by: Xi, Yunjia, et al.
Published: (2024)

Modality Reliability Guided Multimodal Recommendation
by: Dong, Xue, et al.
Published: (2025)

PolyRecommender: A Multimodal Recommendation System for Polymer Discovery
by: Wang, Xin, et al.
Published: (2025)

MLSA4Rec: Mamba Combined with Low-Rank Decomposed Self-Attention for Sequential Recommendation
by: Su, Jinzhao, et al.
Published: (2024)

MMGRec: Multimodal Generative Recommendation with Transformer Model
by: Liu, Han, et al.
Published: (2024)

CEMG: Collaborative-Enhanced Multimodal Generative Recommendation
by: Lin, Yuzhen, et al.
Published: (2025)