Cover Image

AlignRec: Aligning and Training in Multimodal Recommendations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yifan, Zhang, Kangning, Ren, Xiangyuan, Huang, Yanhua, Jin, Jiarui, Qin, Yingjie, Su, Ruilong, Xu, Ruiwen, Yu, Yong, Zhang, Weinan
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Learning ID-free Item Representation with Token Crossing for Multimodal Recommendation
by: Zhang, Kangning, et al.
Published: (2024)

Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
by: Huang, Junjie, et al.
Published: (2024)

A Metric for MLLM Alignment in Large-scale Recommendation
by: Zhang, Yubin, et al.
Published: (2025)

AesRec: A Dataset for Aesthetics-Aligned Clothing Outfit Recommendation
by: Ye, Wenxin, et al.
Published: (2026)

Look into the Future: Deep Contextualized Sequential Recommendation
by: Zheng, Lei, et al.
Published: (2024)

RecExplainer: Aligning Large Language Models for Explaining Recommendation Models
by: Lei, Yuxuan, et al.
Published: (2023)

Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations
by: Huang, Junjie, et al.
Published: (2024)

D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems
by: Qin, Jiarui, et al.
Published: (2024)

Why Not Together? A Multiple-Round Recommender System for Queries and Items
by: Jin, Jiarui, et al.
Published: (2024)

Diffusion Model for Interest Refinement in Multi-Interest Recommendation
by: Le, Yankun, et al.
Published: (2025)

A Comprehensive Survey on Retrieval Methods in Recommender Systems
by: Huang, Junjie, et al.
Published: (2024)

Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models
by: Xi, Yunjia, et al.
Published: (2025)

TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision
by: Zhou, Ruiwen, et al.
Published: (2024)

AlignPxtr: Aligning Predicted Behavior Distributions for Bias-Free Video Recommendations
by: Lin, Chengzhi, et al.
Published: (2025)

M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation
by: Zhu, Jiachen, et al.
Published: (2024)

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation
by: Chen, Jizheng, et al.
Published: (2024)

LASAR: Latent Adaptive Semantic Aligned Reasoning for Generative Recommendation
by: Chen, Yiwen, et al.
Published: (2026)

Beyond Text: Aligning Vision and Language for Multimodal E-Commerce Retrieval
by: Zhang, Qujiaheng, et al.
Published: (2026)

OneRec-Think: In-Text Reasoning for Generative Recommendation
by: Liu, Zhanyu, et al.
Published: (2025)

Aligning Multimodal Sequential Recommendations via Robust Direct Preference Optimization with Sparse MoE
by: Huang, Hejin, et al.
Published: (2026)

RecGPT: A Foundation Model for Sequential Recommendation
by: Jiang, Yangqin, et al.
Published: (2025)

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

DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-level
by: Gao, Shen, et al.
Published: (2024)

Middleman Bias in Advertising: Aligning Relevance of Keyphrase Recommendations with Search
by: Dey, Soumik, et al.
Published: (2025)

EasyRec: Simple yet Effective Language Models for Recommendation
by: Ren, Xubin, et al.
Published: (2024)

UniRec: Unified Multimodal Encoding for LLM-Based Recommendations
by: Lei, Zijie, et al.
Published: (2026)

AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation
by: Xu, Jinfeng, et al.
Published: (2024)

Aligning Large Language Models with Recommendation Knowledge
by: Cao, Yuwei, et al.
Published: (2024)

RecLM: Recommendation Instruction Tuning
by: Jiang, Yangqin, et al.
Published: (2024)

RaSeRec: Retrieval-Augmented Sequential Recommendation
by: Zhao, Xinping, et al.
Published: (2024)

MaTrRec: Uniting Mamba and Transformer for Sequential Recommendation
by: Zhang, Shun, et al.
Published: (2024)

GPFedRec: Graph-guided Personalization for Federated Recommendation
by: Zhang, Chunxu, et al.
Published: (2023)

MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommendation
by: Liu, Jialin, et al.
Published: (2026)

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

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

MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems
by: Zhang, Yi, et al.
Published: (2025)

MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation
by: Shan, Rong, et al.
Published: (2026)

DMAP: Human-Aligned Structural Document Map for Multimodal Document Understanding
by: Fu, ShunLiang, et al.
Published: (2026)

TTT4Rec: A Test-Time Training Approach for Rapid Adaption in Sequential Recommendation
by: Yang, Zhaoqi, et al.
Published: (2024)