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Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach

https://doi.org/10.24963/ijcai.2019/650
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-46466-4_45openalex-snapshot
End-to-End Localization and Ranking for Relative Attributes
inferredcites →https://doi.org/10.1007/978-3-642-33712-3_44openalex-snapshot
Describing Clothing by Semantic Attributes
inferredcites →https://doi.org/10.1109/cvpr.2012.6248026openalex-snapshot
WhittleSearch: Image search with relative attribute feedback
inferredcites →https://doi.org/10.1109/cvpr.2016.319openalex-snapshot
Learning Deep Features for Discriminative Localization
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00804openalex-snapshot
Learning Attribute Representations with Localization for Flexible Fashion Search
inferredcites →https://doi.org/10.1109/iccv.2015.171openalex-snapshot
Discovering the Spatial Extent of Relative Attributes
inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
inferredcites →https://doi.org/10.1109/icdm.2011.118openalex-snapshot
Personalized Travel Package Recommendation
inferredcites →https://doi.org/10.1109/icdm.2017.30openalex-snapshot
Visually-Aware Fashion Recommendation and Design with Generative Image Models
inferredcites →https://doi.org/10.1109/tkde.2017.2663422openalex-snapshot
Modeling the Evolution of Users’ Preferences and Social Links in Social Networking Services
inferredcites →https://doi.org/10.1145/2600428.2609579openalex-snapshot
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
inferredcites →https://doi.org/10.1145/2766462.2767755openalex-snapshot
Image-Based Recommendations on Styles and Substitutes
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3132847.3132892openalex-snapshot
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources
inferredcites →https://doi.org/10.1145/3219819.3220014openalex-snapshot
Learning from History and Present
inferredcites →https://doi.org/10.1145/3269206.3269283openalex-snapshot
Multiple Pairwise Ranking with Implicit Feedback
inferredcites →https://doi.org/10.1609/aaai.v30i1.9973openalex-snapshot
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.1609/aaai.v33i01.33013622openalex-snapshot
Explainable Recommendation through Attentive Multi-View Learning
inferredcites →https://doi.org/10.18297/etd/2744openalex-snapshot
Accurate and justifiable : new algorithms for explainable recommendations.
inferredcites →https://doi.org/10.24963/ijcai.2018/516openalex-snapshot
A Deep Framework for Cross-Domain and Cross-System Recommendations
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.1801.10288openalex-snapshot
Visually Explainable Recommendation

What points at this work

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

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Learning Image Representation via Attribute-Aware Attention Networks for Fashion Classification
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End-to-End Image-Based Fashion Recommendation
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A Humanistic Approach to Recommender Systems: Implications for 5.0 Marketing Management
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Comparative Analysis of Deep Convolutional Neural Network (CNN) Architectures for Recommendation Systems Using Streamlit Framework
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Deep Feature Extraction for Fashionable Fabrics: Using ResNet50, MobileNet, and CNN
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Algorithmic abstractions of ‘fashion identity’ and the role of privacy with regard to algorithmic personalisation systems in the fashion domain
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You can try without visiting: a comprehensive survey on virtually try-on outfits
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Click-through rate prediction based on feature interaction and behavioral sequence
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Robust visual recommendation via graph pairwise training
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Study of AI-Driven Fashion Recommender Systems
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Explainable artificial intelligence for enhanced living environments: A study on user perspective
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Explainable fashion compatibility Prediction: An Attribute-Augmented neural framework
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Zero-Shot Content-Based Crossmodal Recommendation System
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Multimodal fusion framework based on knowledge graph for personalized recommendation
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Adaptable Recommendation System for Outfit Selection with Deep Learning Approach
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A deep learning-powered wardrobe companion app for outfit recommendations
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Visual and Textual Jointly Enhanced Interpretable Fashion Recommendation
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REF-Net: Robust, Efficient, and Fast Network for Semantic Segmentation Applications Using Devices With Limited Computational Resources
inferred← citeshttps://doi.org/10.1109/clei67442.2025.11420628openalex-snapshot
VestiME: A RAG-based Multimodal Fashion Outfit Recommender System
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Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection
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How Good Is Aesthetic Ability of a Fashion Model?
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A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems
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Modeling Field-Level Factor Interactions for Fashion Recommendation
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An Efficient Deep Convolutional Neural Network for Semantic Segmentation
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Hybrid NLP and Computer Vision Approach for Customized Outfit Recommendation
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Computer Vision-Based Real-Time Clothing Size Prediction Using Pose Estimation and Distance Calibration
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Collaborative List-and-Pairwise Filtering from Implicit Feedback
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A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
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Tripartite Graph Regularized Latent Low-Rank Representation for Fashion Compatibility Prediction
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Discover Micro-Influencers for Brands via Better Understanding
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Multimodal Dialogue Systems via Capturing Context-aware Dependencies of Semantic Elements
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Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation
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Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback
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Stock Trend Prediction with Multi-granularity Data
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Bi-directional Heterogeneous Graph Hashing towards Efficient Outfit Recommendation
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Click-Through Rate Prediction Based on User Behaviors and Feature Importance
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