On the public citation graph
Visually-Aware Fashion Recommendation and Design with Generative Image Models
0 signed · 325 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_5openalex-snapshot
Advances in Collaborative Filtering
inferredcites →https://doi.org/10.1007/978-3-642-37447-0_25openalex-snapshot
Apparel Classification with Style
inferredcites →https://doi.org/10.1007/978-3-658-40442-0_9openalex-snapshot
Generative Adversarial Nets
inferredcites →https://doi.org/10.1109/cvpr.2006.100openalex-snapshot
Dimensionality Reduction by Learning an Invariant Mapping
inferredcites →https://doi.org/10.1109/cvpr.2014.242openalex-snapshot
Discriminative Deep Metric Learning for Face Verification in the Wild
inferredcites →https://doi.org/10.1109/cvpr.2016.279openalex-snapshot
Comparative Deep Learning of Hybrid Representations for Image Recommendations
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvprw.2012.6239352openalex-snapshot
Urban tribes: Analyzing group photos from a social perspective
inferredcites →https://doi.org/10.1109/iccv.2015.527openalex-snapshot
Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences
inferredcites →https://doi.org/10.1109/iccv.2017.304openalex-snapshot
Least Squares Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/iccv.2017.50openalex-snapshot
Fashion Forward: Forecasting Visual Style in Fashion
inferredcites →https://doi.org/10.1109/icdm.2008.16openalex-snapshot
One-Class Collaborative Filtering
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/icdm.2015.69openalex-snapshot
Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data
inferredcites →https://doi.org/10.1109/icdm.2015.71openalex-snapshot
Exploiting Temporal and Social Factors for B2B Marketing Campaign Recommendations
inferredcites →https://doi.org/10.1109/icdm.2016.0066openalex-snapshot
POI Recommendation: A Temporal Matching between POI Popularity and User Regularity
inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1109/tmm.2017.2690144openalex-snapshot
Mining Fashion Outfit Composition Using an End-to-End Deep Learning Approach on Set Data
inferredcites →https://doi.org/10.1109/wacv.2015.131openalex-snapshot
Runway to Realway: Visual Analysis of Fashion
inferredcites →https://doi.org/10.1145/2766462.2767755openalex-snapshot
Image-Based Recommendations on Styles and Substitutes
inferredcites →https://doi.org/10.1145/2766959openalex-snapshot
Learning visual similarity for product design with convolutional neural networks
inferredcites →https://doi.org/10.1145/2783258.2783273openalex-snapshot
Collaborative Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/2959100.2959190openalex-snapshot
Deep Neural Networks for YouTube Recommendations
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1609/aaai.v30i1.9973openalex-snapshot
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot
GAN（Generative Adversarial Nets）
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.1411.1784openalex-snapshot
Conditional Generative Adversarial Nets
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1507.08439openalex-snapshot
Metadata Embeddings for User and Item Cold-start Recommendations
inferredcites →https://doi.org/10.48550/arxiv.1511.06434openalex-snapshot
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1605.05396openalex-snapshot
Generative Adversarial Text to Image Synthesis
inferredcites →https://doi.org/10.48550/arxiv.1610.09585openalex-snapshot
Conditional Image Synthesis With Auxiliary Classifier GANs
inferredcites →https://doi.org/10.5244/c.28.6openalex-snapshot
Return of the Devil in the Details: Delving Deep into Convolutional Nets
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/asmb.2816openalex-snapshot
Deep generative models for vehicle speed trajectories
inferred← citeshttps://doi.org/10.1007/978-1-0716-2197-4_26openalex-snapshot
Fashion Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-11027-7_20openalex-snapshot
Extraction of Visual Features for Recommendation of Products via Deep Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-21074-8_7openalex-snapshot
Let AI Clothe You: Diversified Fashion Generation
inferred← citeshttps://doi.org/10.1007/978-3-030-37334-4_26openalex-snapshot
Multi-label Image Set Recognition in Visually-Aware Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-55218-3_1openalex-snapshot
Fashion Recommender Systems in Cold Start
inferred← citeshttps://doi.org/10.1007/978-3-030-55393-7_6openalex-snapshot
Pairwise-Based Hierarchical Gating Networks for Sequential Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-030-62807-9_51openalex-snapshot
Data Analytics and Application Challenges in the Childrenswear Market - A Case Study in Greece
inferred← citeshttps://doi.org/10.1007/978-3-030-63836-8_41openalex-snapshot
Match4Rec: A Novel Recommendation Algorithm Based on Bidirectional Encoder Representation with the Matching Task
inferred← citeshttps://doi.org/10.1007/978-3-030-92185-9_24openalex-snapshot
Aesthetic-Aware Recommender System for Online Fashion Products
inferred← citeshttps://doi.org/10.1007/978-3-030-99739-7_10openalex-snapshot
Leveraging Content-Style Item Representation for Visual Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-08751-6_12openalex-snapshot
Content-Aware Generative Model for Multi-item Outfit Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-10522-7_38openalex-snapshot
A Stacking Recommender System Based on Contextual Information for Fashion Retails
inferred← citeshttps://doi.org/10.1007/978-3-031-15931-2_64openalex-snapshot
Conditioned Variational Autoencoder for Top-N Item Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-19787-1_1openalex-snapshot
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
inferred← citeshttps://doi.org/10.1007/978-3-031-22192-7_7openalex-snapshot
End-to-End Image-Based Fashion Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-27409-1_9openalex-snapshot
PMFRO: Personalized Men’s Fashion Recommendation Using Dynamic Ontological Models
inferred← citeshttps://doi.org/10.1007/978-3-031-56027-9_8openalex-snapshot
Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision
inferred← citeshttps://doi.org/10.1007/978-3-031-78934-2_30openalex-snapshot
Developing Intelligent Food Recommended System with Nutrition Insights
inferred← citeshttps://doi.org/10.1007/978-3-032-21901-5_30openalex-snapshot
Personalized Fashion Recommendation System Using Deep Models Based on Dempster Shafer Theory
inferred← citeshttps://doi.org/10.1007/978-3-319-77700-9_5openalex-snapshot
Non-personalized Fashion Outfit Recommendations
inferred← citeshttps://doi.org/10.1007/978-3-319-91452-7_8openalex-snapshot
Discrete Binary Hashing Towards Efficient Fashion Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-319-99695-0_31openalex-snapshot
Fashion Meets AI Technology
inferred← citeshttps://doi.org/10.1007/978-3-319-99740-7_11openalex-snapshot
Creative Intelligence – Automating Car Design Studio with Generative Adversarial Networks (GAN)
inferred← citeshttps://doi.org/10.1007/978-981-15-1301-5_37openalex-snapshot
Recommending Costume Matching with User Preference and Expert’s Suggestion
inferred← citeshttps://doi.org/10.1007/978-981-16-3412-3_4openalex-snapshot
Generative Adversarial Network-Based Visual-Aware Interactive Fashion Design Framework
inferred← citeshttps://doi.org/10.1007/978-981-96-4136-9_31openalex-snapshot
Improving Item-Based Collaborative with Vision Transformers to Address Data Sparsity Issue
inferred← citeshttps://doi.org/10.1007/978-981-96-7502-9_9openalex-snapshot
A Comprehensive Analysis of Transforming Fashion Using Generative AI
inferred← citeshttps://doi.org/10.1007/978-981-97-1961-7_40openalex-snapshot
Leveraging Generative AI for Personalized Recommendation System
inferred← citeshttps://doi.org/10.1007/978-981-97-5200-3_35openalex-snapshot
The Future of Artificial Intelligence in Fashion: Innovations, Challenges, and Implications
inferred← citeshttps://doi.org/10.1007/978-981-97-8669-5_21openalex-snapshot
Web Personalization with Large Language Models: Challenges and Future Trends
inferred← citeshttps://doi.org/10.1007/978-981-99-3250-4_60openalex-snapshot
Improving Accuracy of Recommendation Systems with Deep Learning Models
inferred← citeshttps://doi.org/10.1007/s00521-022-07059-xopenalex-snapshot
Deep GraphSAGE-based recommendation system: jumping knowledge connections with ordinal aggregation network
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/s00530-026-02232-xopenalex-snapshot
Exploring AI in fashion: a review of aesthetics, personalization, virtual try-on, and forecasting
inferred← citeshttps://doi.org/10.1007/s00530-026-02622-1openalex-snapshot
DRARec: diffusion-based representation augmentation for multimodal recommendation
inferred← citeshttps://doi.org/10.1007/s00778-021-00651-yopenalex-snapshot
Visually aware recommendation with aesthetic features
inferred← citeshttps://doi.org/10.1007/s10489-021-02355-wopenalex-snapshot
Robust multi-objective visual bayesian personalized ranking for multimedia recommendation
inferred← citeshttps://doi.org/10.1007/s10618-026-01202-1openalex-snapshot
Relation-aware multimodal data hashing for scalable recommendation systems
inferred← citeshttps://doi.org/10.1007/s10660-024-09872-zopenalex-snapshot
AI in fashion: a literature review
inferred← citeshttps://doi.org/10.1007/s10958-024-07430-4openalex-snapshot
Realistic Adversarial Attacks on Object Detectors Using Generative Models
inferred← citeshttps://doi.org/10.1007/s11042-022-12259-7openalex-snapshot
Personalized recommendation: From clothing to academic
inferred← citeshttps://doi.org/10.1007/s11042-022-14204-0openalex-snapshot
DSSN: dual shallow Siamese network for fashion image retrieval
inferred← citeshttps://doi.org/10.1007/s11042-024-19698-4openalex-snapshot
BangleFIR: bridging the gap in fashion image retrieval with a novel dataset of bangles
inferred← citeshttps://doi.org/10.1007/s11042-025-20655-yopenalex-snapshot
DCARES: deep convolutional neural network with neural-based optimization for image-based product recommender system
inferred← citeshttps://doi.org/10.1007/s11280-021-00866-7openalex-snapshot
Semi-supervised collaborative filtering ensemble
inferred← citeshttps://doi.org/10.1007/s11390-022-1152-7openalex-snapshot
Multimodal Interactive Network for Sequential Recommendation
inferred← citeshttps://doi.org/10.1007/s13042-023-01868-9openalex-snapshot
Robust multimedia recommender system based on dynamic collaborative filtering and directed adversarial learning
inferred← citeshttps://doi.org/10.1007/s13042-024-02288-zopenalex-snapshot
SPERM: sequential pairwise embedding recommendation with MI-FGSM
inferred← citeshttps://doi.org/10.1007/s13735-023-00273-wopenalex-snapshot
Multiple feedback based adversarial collaborative filtering with aesthetics
inferred← citeshttps://doi.org/10.1007/s13735-023-00295-4openalex-snapshot
Style-aware adversarial pairwise ranking for image recommendation systems
inferred← citeshttps://doi.org/10.1007/s13735-023-00299-0openalex-snapshot
Ornament image retrieval using few-shot learning
inferred← citeshttps://doi.org/10.1007/s13735-026-00406-xopenalex-snapshot
A survey of multimodal recommender systems: methods, challenges, and future directions
inferred← citeshttps://doi.org/10.1007/s41019-018-0079-zopenalex-snapshot
Learning Discrete Hashing Towards Efficient Fashion Recommendation
inferred← citeshttps://doi.org/10.1007/s42979-023-01932-9openalex-snapshot
Study of AI-Driven Fashion Recommender Systems
inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107753openalex-snapshot
A deep neural network model for fashion collocation recommendation using side information in e-commerce
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.10.024openalex-snapshot
APL: Adversarial Pairwise Learning for Recommender Systems
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.11.011openalex-snapshot
A hybrid approach to building face shape classifier for hairstyle recommender system
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127732openalex-snapshot
Coformer for session-based recommendation with dual positional information
inferred← citeshttps://doi.org/10.1016/j.hcc.2024.100200openalex-snapshot
Outlier item detection in bundle recommendation via the attention mechanism
inferred← citeshttps://doi.org/10.1016/j.ins.2020.02.018openalex-snapshot
Towards explainable personalized recommendations by learning from users’ photos
inferred← citeshttps://doi.org/10.1016/j.ins.2020.09.013openalex-snapshot
Recommender systems based on generative adversarial networks: A problem-driven perspective
inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102276openalex-snapshot
Fashion analysis and understanding with artificial intelligence
inferred← citeshttps://doi.org/10.1016/j.jbi.2023.104342openalex-snapshot
A utility-based machine learning-driven personalized lifestyle recommendation for cardiovascular disease prevention
inferred← citeshttps://doi.org/10.1016/j.jksuci.2020.03.009openalex-snapshot
Deep visual ensemble similarity (DVESM) approach for visually aware recommendation and search in smart community
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.108954openalex-snapshot
A survey for trust-aware recommender systems: A deep learning perspective
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110258openalex-snapshot
Scalable and explainable visually-aware recommender systems
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.108248openalex-snapshot
Preference prediction based on a photo gallery analysis with scene recognition and object detection
inferred← citeshttps://doi.org/10.1016/j.patrec.2021.08.023openalex-snapshot
Multimodal-adaptive hierarchical network for multimedia sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.procs.2021.08.225openalex-snapshot
Preference for Abstract Diagrams and Sentiments Applied in a Product Selection
inferred← citeshttps://doi.org/10.1016/j.softx.2024.101857openalex-snapshot
CoCoStyle: Mixed initiative co-creative system to support creative process of fashion design
inferred← citeshttps://doi.org/10.1016/j.tele.2020.101525openalex-snapshot
Futures of artificial intelligence through technology readiness levels
inferred← citeshttps://doi.org/10.1057/s41270-026-00550-7openalex-snapshot
Fast and flexible? Evaluating CLIP for image classification in a marketing context
inferred← citeshttps://doi.org/10.1063/5.0165752openalex-snapshot
Movie recommendation system using machine learning
inferred← citeshttps://doi.org/10.1080/09544828.2025.2546840openalex-snapshot
An intelligent prompt system for product generative design based on style perception preference values
inferred← citeshttps://doi.org/10.1080/17543266.2021.1991005openalex-snapshot
‘Just hit a button!’ – fashion 4.0 designers as cyborgs, experimenting and designing with generative algorithms
inferred← citeshttps://doi.org/10.1108/978-1-83549-105-820251004openalex-snapshot
Fashioning Ownership: Intellectual Property Considerations in Generative AI-Driven Fashion Design
inferred← citeshttps://doi.org/10.1108/ijcst-09-2023-0129openalex-snapshot
Clothing image attribute editing based on generative adversarial network, with reference to an upper garment
inferred← citeshttps://doi.org/10.1108/k-07-2025-1661openalex-snapshot
The influence of data-driven personalised fashion recommendations on consumer decision-making
inferred← citeshttps://doi.org/10.1109/access.2020.2978272openalex-snapshot
Visual and Textual Jointly Enhanced Interpretable Fashion Recommendation
inferred← citeshttps://doi.org/10.1109/access.2020.3032280openalex-snapshot
Attribute-Aware Generative Design With Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/access.2022.3140215openalex-snapshot
Learning Users’ Visual Preferences for Improving Recommendations
inferred← citeshttps://doi.org/10.1109/access.2023.3290918openalex-snapshot
Evolutionary Approach for Building, Exploring and Recommending Complex Items With Application in Nutritional Interventions
inferred← citeshttps://doi.org/10.1109/acdsa65407.2025.11166535openalex-snapshot
Clustering-based analysis of the relationship between clothing attributes and ease of styling
inferred← citeshttps://doi.org/10.1109/aidas71914.2026.11712822openalex-snapshot
The Algorithmic Wardrobe: Discovering Local Streetwear Through Content-Based Filtering
inferred← citeshttps://doi.org/10.1109/besc64747.2024.10780459openalex-snapshot
Understanding Brand's Association: Fine-Grained Multi-Modal Content Discovery for Brands
inferred← citeshttps://doi.org/10.1109/bigcomp.2019.8679117openalex-snapshot
Scenery-Based Fashion Recommendation with Cross-Domain Geneartive Adverserial Networks
inferred← citeshttps://doi.org/10.1109/ciacon65473.2025.11189425openalex-snapshot
Sequential Pixel Perturbations via Reinforcement Learning for Targeted Manipulation of Image-Based Recommender Systems
inferred← citeshttps://doi.org/10.1109/cict67193.2025.11398879openalex-snapshot
AI Powered SmartMirror: A Multimodal System for Personalized Outfit and Skincare Recommendations Using Real-Time Visual Context
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01078openalex-snapshot
Complete the Look: Scene-Based Complementary Product Recommendation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01290openalex-snapshot
Context-Aware Visual Compatibility Prediction
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00337openalex-snapshot
Fashion Outfit Complementary Item Retrieval
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01107openalex-snapshot
ViBE: Dressing for Diverse Body Shapes
inferred← citeshttps://doi.org/10.1109/cvprw.2019.00041openalex-snapshot
Learning Personal Tastes in Choosing Fashion Outfits
inferred← citeshttps://doi.org/10.1109/cvprw53098.2021.00434openalex-snapshot
Effectively Leveraging Attributes for Visual Similarity
inferred← citeshttps://doi.org/10.1109/cvprw53098.2021.00445openalex-snapshot
A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems
inferred← citeshttps://doi.org/10.1109/cvprw56347.2022.00251openalex-snapshot
OutfitGAN: Learning Compatible Items for Generative Fashion Outfits
inferred← citeshttps://doi.org/10.1109/dese51703.2020.9450741openalex-snapshot
A Joint Embedding Technique for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/etcc65847.2025.11108679openalex-snapshot
FITS: Fashion Innovation Through Synthesis
inferred← citeshttps://doi.org/10.1109/icacctech61146.2023.00076openalex-snapshot
Multi-modality Collaborative Recommender Systems: An Overview of Techniques and Evaluation Metrics
inferred← citeshttps://doi.org/10.1109/icaet63349.2025.10932201openalex-snapshot
Generative AI for Revolutionizing Personal Style
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095080openalex-snapshot
Interaction-Assisted Multi-Modal Representation Learning for Recommendation
inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10724611openalex-snapshot
Optimizing Fashion Recommendations for Diverse Body Types: An Epsilon Greedy Approach
inferred← citeshttps://doi.org/10.1109/icce-berlin47944.2019.8966228openalex-snapshot
Deep Fashion Recommendation System with Style Feature Decomposition
inferred← citeshttps://doi.org/10.1109/iccv.2019.00458openalex-snapshot
FiNet: Compatible and Diverse Fashion Image Inpainting
inferred← citeshttps://doi.org/10.1109/iccv.2019.00515openalex-snapshot
Fashion++: Minimal Edits for Outfit Improvement
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01157openalex-snapshot
Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00690openalex-snapshot
Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer
inferred← citeshttps://doi.org/10.1109/icdh.2018.00040openalex-snapshot
From Recommendation to Generation: A Novel Fashion Clothing Advising Framework
inferred← citeshttps://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/icdm59182.2024.00032openalex-snapshot
Contrastive Learning for Adapting Language Model to Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/icdmw60847.2023.00049openalex-snapshot
Leveraging Implicit Knowledge in Recommender Systems for Maternal Health
inferred← citeshttps://doi.org/10.1109/icee55646.2022.9827421openalex-snapshot
Single-Item Fashion Recommender: Towards Cross-Domain Recommendations
inferred← citeshttps://doi.org/10.1109/iceect61758.2024.10739241openalex-snapshot
Smart Fashion Recommendation System using Random Forest Algorithm
inferred← citeshttps://doi.org/10.1109/icicacs57338.2023.10099844openalex-snapshot
Fashion Forecasting using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/icme59968.2025.11209390openalex-snapshot
Uncertainty-guided Multi-modal Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/icses52305.2021.9633891openalex-snapshot
A Semantic Approach for Fashion Recommendation Using Logistic Regression and Ontologies
inferred← citeshttps://doi.org/10.1109/icseti67678.2026.11636650openalex-snapshot
ClosetAI: Intelligent Outfit Recommendation and Smart Classification of Garment and Wardrobe Customization
inferred← citeshttps://doi.org/10.1109/iisa.2019.8900681openalex-snapshot
CFRS: A Trends-Driven Collaborative Fashion Recommendation System
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650977openalex-snapshot
Adversarial Pairwise Multimodal Recommendation
inferred← citeshttps://doi.org/10.1109/imcom56909.2023.10035645openalex-snapshot
Siamese Neural Networks for Content-based Visual Art Recommendation
inferred← citeshttps://doi.org/10.1109/mmsp64401.2025.11324395openalex-snapshot
Meta Learning for Adaptive Disentangled User Preference Integration Toward Multimodal Recommendation
inferred← citeshttps://doi.org/10.1109/qrs-c60940.2023.00082openalex-snapshot
Outfit Compatibility Model with Multi-Modal Semantic Interaction Learning
inferred← citeshttps://doi.org/10.1109/rcsm67767.2025.11507334openalex-snapshot
Towards Actionable Fashion AI: A Holistic, End-to-End Style Recommendation Assistant
inferred← citeshttps://doi.org/10.1109/secon48991.2020.9158410openalex-snapshot
TransRes: A Deep Transfer Learning Approach to Migratable Image Super-Resolution in Remote Urban Sensing
inferred← citeshttps://doi.org/10.1109/tbdata.2026.3705414openalex-snapshot
Visual or Textual? Adaptive Modality Perception Learning for Multimodal Recommendation
inferred← citeshttps://doi.org/10.1109/tce.2026.3660930openalex-snapshot
RFM: Refined Feature Modeling for Multimodal Recommendation
inferred← citeshttps://doi.org/10.1109/tcss.2025.3539884openalex-snapshot
Multimodal Movie Recommendation With Multitasking Architecture and Learning User–Movie Representation: An Empirical Study
inferred← citeshttps://doi.org/10.1109/tkde.2019.2893638openalex-snapshot
Adversarial Training Towards Robust Multimedia Recommender System
inferred← citeshttps://doi.org/10.1109/tkde.2019.2906190openalex-snapshot
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation
inferred← citeshttps://doi.org/10.1109/tkde.2020.2991793openalex-snapshot
Modeling Product’s Visual and Functional Characteristics for Recommender Systems
inferred← citeshttps://doi.org/10.1109/tkde.2022.3221949openalex-snapshot
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation
inferred← citeshttps://doi.org/10.1109/tmm.2020.3018021openalex-snapshot
Learning Diverse Fashion Collocation by Neural Graph Filtering
inferred← citeshttps://doi.org/10.1109/tmm.2021.3062736openalex-snapshot
Tripartite Graph Regularized Latent Low-Rank Representation for Fashion Compatibility Prediction
inferred← citeshttps://doi.org/10.1109/tmm.2021.3088281openalex-snapshot
Modeling Instant User Intent and Content-Level Transition for Sequential Fashion Recommendation
inferred← citeshttps://doi.org/10.1109/tmm.2023.3251108openalex-snapshot
Multimodal Graph Contrastive Learning for Multimedia-Based 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.2026.3654432openalex-snapshot
Breaking the Curse of Knowledge: Towards Effective Multimodal Recommendation Using Knowledge Soft Integration
inferred← citeshttps://doi.org/10.1109/tmm.2026.3668620openalex-snapshot
A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3069058openalex-snapshot
Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings
inferred← citeshttps://doi.org/10.1109/tocs50858.2020.9339690openalex-snapshot
To Become Fashionable: A Brief Review of Outfit Compatibility
inferred← citeshttps://doi.org/10.1109/wacv45572.2020.9093555openalex-snapshot
Towards a Unified Framework for Visual Compatibility Prediction
inferred← citeshttps://doi.org/10.1109/wacv57701.2024.00788openalex-snapshot
Lost Your Style? Navigating with Semantic-Level Approach for Text-to-Outfit Retrieval
inferred← citeshttps://doi.org/10.1109/wacv61042.2026.00093openalex-snapshot
MEDAL: multi-modal MEta-space Distillation and ALignment for Visual Compatibility Learning
inferred← citeshttps://doi.org/10.1115/1.4052366openalex-snapshot
Leveraging End-User Data for Enhanced Design Concept Evaluation: A Multimodal Deep Regression Model
inferred← citeshttps://doi.org/10.1137/1.9781611976700.42openalex-snapshot
Predictive Optimization with Zero-Shot Domain Adaptation
inferred← citeshttps://doi.org/10.1142/s0218194026500282openalex-snapshot
DHFI-Net: Dynamic Hypergraph and Fashion Item-Importance-Aware Compatibility Network
inferred← citeshttps://doi.org/10.1145/3269206.3271792openalex-snapshot
Recommendation Through Mixtures of Heterogeneous Item Relationships
inferred← citeshttps://doi.org/10.1145/3292500.3330652openalex-snapshot
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion
inferred← citeshttps://doi.org/10.1145/3292500.3330760openalex-snapshot
Understanding the Role of Style in E-commerce Shopping
inferred← citeshttps://doi.org/10.1145/3298689.3347007openalex-snapshot
Style conditioned recommendations
inferred← citeshttps://doi.org/10.1145/3298689.3347031openalex-snapshot
Adversarial attacks on an oblivious recommender
inferred← citeshttps://doi.org/10.1145/3308558.3313614openalex-snapshot
Improving Outfit Recommendation with Co-supervision of Fashion Generation
inferred← citeshttps://doi.org/10.1145/3308558.3313733openalex-snapshot
CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users
inferred← citeshttps://doi.org/10.1145/3308558.3313739openalex-snapshot
Enhancing Fashion Recommendation with Visual Compatibility Relationship
inferred← citeshttps://doi.org/10.1145/3331184.3331254openalex-snapshot
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network
inferred← citeshttps://doi.org/10.1145/3334480.3382892openalex-snapshot
AI-generated vs. Human Artworks. A Perception Bias Towards Artificial Intelligence?
inferred← citeshttps://doi.org/10.1145/3343031.3350905openalex-snapshot
Personalized Capsule Wardrobe Creation with Garment and User Modeling
inferred← citeshttps://doi.org/10.1145/3357384.3357888openalex-snapshot
A Spatio-temporal Recommender System for On-demand Cinemas
inferred← citeshttps://doi.org/10.1145/3357384.3358113openalex-snapshot
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3366423.3380007openalex-snapshot
Hierarchical Visual-aware Minimax Ranking Based on Co-purchase Data for Personalized Recommendation
inferred← citeshttps://doi.org/10.1145/3383313.3411451openalex-snapshot
Taking advantage of images and texts in recommender systems: semantics and explainability
inferred← citeshttps://doi.org/10.1145/3385413openalex-snapshot
Learning Visual Elements of Images for Discovery of Brand Posts
inferred← citeshttps://doi.org/10.1145/3394171.3413598openalex-snapshot
Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation
inferred← citeshttps://doi.org/10.1145/3394171.3413953openalex-snapshot
From Design Draft to Real Attire: Unaligned Fashion Image Translation
inferred← citeshttps://doi.org/10.1145/3394486.3403319openalex-snapshot
Category-Specific CNN for Visual-aware CTR Prediction at JD.com
inferred← citeshttps://doi.org/10.1145/3397482.3450620openalex-snapshot
VisRec: A Hands-on Tutorial on Deep Learning for Visual Recommender Systems
inferred← citeshttps://doi.org/10.1145/3404835.3462848openalex-snapshot
A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images
inferred← citeshttps://doi.org/10.1145/3442381.3449891openalex-snapshot
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start
inferred← citeshttps://doi.org/10.1145/3459637.3482145openalex-snapshot
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3460231.3473324openalex-snapshot
Multi-Modal Recommender Systems: Hands-On Exploration
inferred← citeshttps://doi.org/10.1145/3460231.3478881openalex-snapshot
V-Elliot: Design, Evaluate and Tune Visual Recommender Systems
inferred← citeshttps://doi.org/10.1145/3460426.3463638openalex-snapshot
Leveraging Two Types of Global Graph for Sequential Fashion Recommendation
inferred← citeshttps://doi.org/10.1145/3474085.3475259openalex-snapshot
Mining Latent Structures for Multimedia Recommendation
inferred← citeshttps://doi.org/10.1145/3474085.3475453openalex-snapshot
Style-Aware Image Recommendation for Social Media Marketing
inferred← citeshttps://doi.org/10.1145/3474085.3475537openalex-snapshot
Complementary Factorization towards Outfit Compatibility Modeling
inferred← citeshttps://doi.org/10.1145/3488560.3498423openalex-snapshot
Sentiment Analysis of Fashion Related Posts in Social Media
inferred← citeshttps://doi.org/10.1145/3488560.3498504openalex-snapshot
Collaborative Curating for Discovery and Expansion of Visual Clusters
inferred← citeshttps://doi.org/10.1145/3531017openalex-snapshot
Disentangling Features for Fashion Recommendation
inferred← citeshttps://doi.org/10.1145/3534678.3539392openalex-snapshot
Debiasing Learning for Membership Inference Attacks Against Recommender Systems
inferred← citeshttps://doi.org/10.1145/3535101openalex-snapshot
Graph Neural Networks in Recommender Systems: A Survey
inferred← citeshttps://doi.org/10.1145/3539618.3591729openalex-snapshot
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation
inferred← citeshttps://doi.org/10.1145/3539637.3557058openalex-snapshot
Introducing Contextual Information in an Ensemble Recommendation System for Fashion Domains
inferred← citeshttps://doi.org/10.1145/3544549.3585641openalex-snapshot
A Study on User Perception and Experience Differences in Recommendation Results by Domain Expertise: The Case of Fashion Domains
inferred← citeshttps://doi.org/10.1145/3577164.3577177openalex-snapshot
Image-Based Fashion Recommendation with Attention to Users' Interests
inferred← citeshttps://doi.org/10.1145/3581783.3612591openalex-snapshot
Pareto Invariant Representation Learning for Multimedia Recommendation
inferred← citeshttps://doi.org/10.1145/3604915.3608821openalex-snapshot
Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model
inferred← citeshttps://doi.org/10.1145/3604915.3609492openalex-snapshot
Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures
inferred← citeshttps://doi.org/10.1145/3624733openalex-snapshot
A Review of Modern Fashion Recommender Systems
inferred← citeshttps://doi.org/10.1145/3624918.3625315openalex-snapshot
Multimodal Fashion Knowledge Extraction as Captioning
inferred← citeshttps://doi.org/10.1145/3627100openalex-snapshot
Computational Technologies for Fashion Recommendation: A Survey
showing the first 200 of 285 · page through all 285
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.