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Learning the User’s Deeper Preferences for Multi-modal Recommendation Systems

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-19274-7_2openalex-snapshot

Augmenting LOD-Based Recommender Systems Using Graph Centrality Measures

inferredcites →https://doi.org/10.1007/978-3-030-19274-7_6openalex-snapshot

Modeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks

inferredcites →https://doi.org/10.1007/978-3-030-74296-6_18openalex-snapshot

MPIA: Multiple Preferences with Item Attributes for Graph Convolutional Collaborative Filtering

inferredcites →https://doi.org/10.1016/j.ipm.2020.102277openalex-snapshot

MGAT: Multimodal Graph Attention Network for Recommendation

inferredcites →https://doi.org/10.1016/j.neucom.2018.10.083openalex-snapshot

Neural networks for personalized item rankings

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2018.00745openalex-snapshot

Squeeze-and-Excitation Networks

inferredcites →https://doi.org/10.1109/icassp.2017.7952132openalex-snapshot

CNN architectures for large-scale audio classification

inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot

Collaborative Filtering for Implicit Feedback Datasets

inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot

Matrix Factorization Techniques for Recommender Systems

inferredcites →https://doi.org/10.1109/tii.2020.3008923openalex-snapshot

Recommendation by Users’ Multimodal Preferences for Smart City Applications

inferredcites →https://doi.org/10.1109/tmm.2021.3088307openalex-snapshot

Hierarchical User Intent Graph Network for Multimedia Recommendation

inferredcites →https://doi.org/10.1109/tmm.2021.3138298openalex-snapshot

DualGNN: Dual Graph Neural Network for Multimedia Recommendation

inferredcites →https://doi.org/10.1109/tpami.2018.2798607openalex-snapshot

Multimodal Machine Learning: A Survey and Taxonomy

inferredcites →https://doi.org/10.1145/2964284.2964291openalex-snapshot

Context-aware Image Tweet Modelling and Recommendation

inferredcites →https://doi.org/10.1145/3077136.3080797openalex-snapshot

Attentive Collaborative Filtering

inferredcites →https://doi.org/10.1145/3291060openalex-snapshot

MMALFM

inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot

Neural Graph Collaborative Filtering

inferredcites →https://doi.org/10.1145/3340531.3411947openalex-snapshot

Multi-modal Knowledge Graphs for Recommender Systems

inferredcites →https://doi.org/10.1145/3343031.3351034openalex-snapshot

MMGCN

inferredcites →https://doi.org/10.1145/3382180openalex-snapshot

Meta-path Augmented Sequential Recommendation with Contextual Co-attention Network

inferredcites →https://doi.org/10.1145/3394171.3413556openalex-snapshot

Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback

inferredcites →https://doi.org/10.1145/3394486.3403177openalex-snapshot

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot

LightGCN

inferredcites →https://doi.org/10.1145/3410441openalex-snapshot

GuessUNeed

inferredcites →https://doi.org/10.1145/3442381.3449908openalex-snapshot

Task-adaptive Neural Process for User Cold-Start Recommendation

inferredcites →https://doi.org/10.1145/3442381.3449986openalex-snapshot

Interest-aware Message-Passing GCN for Recommendation

inferredcites →https://doi.org/10.1145/3447548.3467384openalex-snapshot

Dual Graph enhanced Embedding Neural Network for CTR Prediction

inferredcites →https://doi.org/10.1145/3459637.3482327openalex-snapshot

Click-Through Rate Prediction with Multi-Modal Hypergraphs

inferredcites →https://doi.org/10.1145/3474085.3475259openalex-snapshot

Mining Latent Structures for Multimedia Recommendation

inferredcites →https://doi.org/10.1145/3474085.3475665openalex-snapshot

Contrastive Learning for Cold-Start Recommendation

inferredcites →https://doi.org/10.1155/2009/421425openalex-snapshot

A Survey of Collaborative Filtering Techniques

inferredcites →https://doi.org/10.1609/aaai.v30i1.9973openalex-snapshot

VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback

inferredcites →https://doi.org/10.17863/cam.48429openalex-snapshot

Graph Attention Networks

inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot

AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale

inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-snapshot

Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot

BPR: Bayesian Personalized Ranking from Implicit Feedback

inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot

Adam: A Method for Stochastic Optimization

inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot

Semi-Supervised Classification with Graph Convolutional Networks

inferredcites →https://doi.org/10.48550/arxiv.1706.02263openalex-snapshot

Graph Convolutional Matrix Completion

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-77318-1_21openalex-snapshot

Enhancing Senior Wellness with Optimized Online Volunteer Services: Presenting a Data-Driven Conceptual Model Using Multimodal Recommender Systems

inferred← citeshttps://doi.org/10.1007/978-981-95-7138-3_16openalex-snapshot

DCSN: Dynamic Calibration and Contrastive Sharpening for MultiModal Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-97-5555-4_14openalex-snapshot

DeepMIN: Deep Multi-modal Interest Network with Cognitive Learning Modules

inferred← citeshttps://doi.org/10.1007/s00530-024-01548-wopenalex-snapshot

Exploiting heterogeneous information isolation and multi-view aggregation for multimodal recommendation

inferred← citeshttps://doi.org/10.1007/s41019-025-00309-7openalex-snapshot

HUMP: Highlighted Users’ Modality Preference for Multi-modal Recommender Systems

inferred← citeshttps://doi.org/10.1016/j.asoc.2026.114744openalex-snapshot

From reading minds to books: A dual-sided multimodal knowledge-aware recommender system based on collaborative contrastive learning

inferred← citeshttps://doi.org/10.1016/j.asoc.2026.115069openalex-snapshot

Consistency regularization for complementary clothing recommendations

inferred← citeshttps://doi.org/10.1016/j.chbr.2026.101214openalex-snapshot

Topic-sensitive differentiation and algorithmic equivalence on short-form video platforms: A systematic review of visual frameworks

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109213openalex-snapshot

Dual-view multi-modal contrastive learning for graph-based recommender systems

inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109417openalex-snapshot

A hybrid filtering for micro-video hashtag recommendation using graph-based deep neural network

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130899openalex-snapshot

DAMGO: Dynamic adaptive multi-graph optimization and fusion for multimodal recommendation

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.131914openalex-snapshot

Corrective aggregation and preference-aware for multimodal recommendation systems

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134144openalex-snapshot

Effective prompt-wise distillation for multi-modal recommendation

inferred← citeshttps://doi.org/10.1016/j.ins.2024.121017openalex-snapshot

Collaborative denoised graph contrastive learning for multi-modal recommendation

inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104075openalex-snapshot

Exploiting diffusion-based structured learning for item interactions representations in multimodal recommender systems

inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104144openalex-snapshot

Research on medical publication recommendation based on cross-modal semantic alignment with contrastive learning

inferred← citeshttps://doi.org/10.1016/j.iswa.2026.200724openalex-snapshot

Multidimensional diversity in video recommender systems: a holistic framework of literature gaps and future directions

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114020openalex-snapshot

Cross-modal feature alignment and fusion with contrastive learning in multimodal recommendation

inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115778openalex-snapshot

Beyond feature concatenation: Mutual information-driven fusion for multimodal sequential recommendation

inferred← citeshttps://doi.org/10.1109/access.2024.3491824openalex-snapshot

Contrastive Learning and Deep Fusion Recommendation Model Based on ID Features

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462980openalex-snapshot

Propagating Similarity, Mitigating Uncertainty: Similarity Propagation-Enhanced Uncertainty for Multimodal Recommendation

inferred← citeshttps://doi.org/10.1109/tbdata.2026.3712206openalex-snapshot

DMCLR: Dual-Denoising Multimodal Contrastive Learning for Robust Recommendation

inferred← citeshttps://doi.org/10.1109/tcss.2024.3490801openalex-snapshot

DDRec: Dual Denoising Multimodal Graph Recommendation

inferred← citeshttps://doi.org/10.1109/tmm.2025.3623549openalex-snapshot

LETTER: Self-Harmonized Representation Learning for Multimodal Recommendation

inferred← citeshttps://doi.org/10.1109/tmm.2026.3679053openalex-snapshot

IGDMRec: Behavior Conditioned Item Graph Diffusion for Multimodal Recommendation

inferred← citeshttps://doi.org/10.1145/3581783.3612591openalex-snapshot

Pareto Invariant Representation Learning for Multimedia Recommendation

inferred← citeshttps://doi.org/10.1145/3662738openalex-snapshot

Formalizing Multimedia Recommendation through Multimodal Deep Learning

inferred← citeshttps://doi.org/10.1145/3726302.3729927openalex-snapshot

COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation

inferred← citeshttps://doi.org/10.1145/3731715.3733378openalex-snapshot

MAGIC: Noise Mitigation and Knowledge Alignment for Knowledge Graph-Based Multi-modal Recommendation

inferred← citeshttps://doi.org/10.1145/3735561openalex-snapshot

LPIC: Learnable Prompts and ID-guided Contrastive Learning for Multimodal Recommendation

inferred← citeshttps://doi.org/10.1145/3770854.3780208openalex-snapshot

Enhancing Multimodal Recommendation via Multimodal Representation Calibration in Spectral Domain

inferred← citeshttps://doi.org/10.1145/3773966.3779385openalex-snapshot

When Modalities Go Missing: Early Fusion for Multimodal Recommendation

inferred← citeshttps://doi.org/10.1145/3777377openalex-snapshot

Rethinking Convolutional Neural Network in Multimodal Sequential Recommendation

inferred← citeshttps://doi.org/10.1145/3847662openalex-snapshot

SIHG-Rec: Unleashing the Power of Semantic and Interactive Homogeneous Graphs via Dual-Stage Fusion for Multimodal Recommendation

inferred← citeshttps://doi.org/10.1155/cplx/1791214openalex-snapshot

Sustainable Dissemination of Digital Music Artworks on TikTok: A Social Media Analysis

inferred← citeshttps://doi.org/10.1177/01655515241281828openalex-snapshot

Recommending physicians with multimodal data and medical knowledge graph on healthcare platforms

inferred← citeshttps://doi.org/10.21203/rs.3.rs-7887645/v1openalex-snapshot

Multimodal Denoising Recommendation Based on Confidence and Hierarchical Cross-Modal Alignment

inferred← citeshttps://doi.org/10.21814/uminho.ed.82openalex-snapshot

Apps e Jovens Adultos: Contributos para um Mapeamento de Práticas Mediadas

inferred← citeshttps://doi.org/10.21814/uminho.ed.82.8openalex-snapshot

Trending Now: Movimentos Socioculturais e Jovens

inferred← citeshttps://doi.org/10.28945/5275openalex-snapshot

Learning-Based Models for Building User Profiles for Personalized Information Access

inferred← citeshttps://doi.org/10.3390/app142210187openalex-snapshot

UPGCN: User Perception-Guided Graph Convolutional Network for Multimodal Recommendation

inferred← citeshttps://doi.org/10.3390/math12152353openalex-snapshot

A Multimodal Graph Recommendation Method Based on Cross-Attention Fusion

inferred← citeshttps://doi.org/10.3390/mti9010006openalex-snapshot

Multimodal Interaction, Interfaces, and Communication: A Survey

inferred← citeshttps://doi.org/10.3390/systems13010057openalex-snapshot

Multimodal Recommendation System Based on Cross Self-Attention Fusion

inferred← citeshttps://doi.org/10.3837/tiis.2023.05.006openalex-snapshot

Enhancing Recommender Systems by Fusing Diverse Information Sources through Data Transformation and Feature Selection

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