Image-Based Recommendations on Styles and Substitutes
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Summary
The approach is not based on fine-grained modeling of user annotations but rather on capturing the largest dataset possible and developing a scalable method for uncovering human notions of the visual relationships within.
- Type
- article
- Published
- 2015-06-15
- Cited by
- 2,958
- References
- 43
- Access
- Open access
- OpenAlex
- https://openalex.org/W2027731328
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1012652
Keywords
Computer science, Inference, Clothing, Scalability, Matching (statistics)
References
- Click-through-based cross-view learning for image search
- Reinforced Similarity Integration in Image-Rich Information Networks
- Functional matrix factorizations for cold-start recommendation
- Learning similarity functions for topic detection in online reputation monitoring
- Learning to personalize trending image search suggestion
- Data-driven visual similarity for cross-domain image matching
- Style-content separation by anisotropic part scales
- Image ranking based on user browsing behavior
- Matrix Factorization Techniques for Recommender Systems
- What makes Paris look like Paris?
- On centroidal voronoi tessellation—energy smoothness and fast computation
- PRISM: concept-preserving social image search results summarization
- Manhattan hashing for large-scale image retrieval
- The knowing camera 2: recognizing and annotating places-of-interest in smartphone photos
- Urban tribes: Analyzing group photos from a social perspective
- Boosting multi-kernel locality-sensitive hashing for scalable image retrieval
- IM2GPS: estimating geographic information from a single image
- Personalized recommendation on dynamic content using predictive bilinear models
- Content-boosted collaborative filtering for improved recommendations
- Paper Doll Parsing: Retrieving Similar Styles to Parse Clothing Items
Cited by
- Large Scale Document Inversion using a Multi-threaded Computing System
- Understanding online product ratings: A customer satisfaction model
- Diamond Sampling for Approximate Maximum All-Pairs Dot-Product (MAD) Search
- The MovieLens Datasets: History and Context
- Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences
- Utilizing big data analytics for information systems research: challenges, promises and guidelines
- Lifetime-Based Memory Management for Distributed Data Processing Systems
- Active Information Acquisition
- VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
- Exploiting Social Judgements in Big Data Analytics
- Active Task Selection for Multi-Task Learning
- Modeling Visual Compatibility through Hierarchical Mid-level Elements
- Text Mining For Information Systems Researchers: An Annotated Topic Modeling Tutorial
- Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items
- Monomer: Non-Metric Mixtures-of-Embeddings for Learning Visual Compatibility Across Categories
- The QWERTY Effect on the Web: How Typing Shapes the Meaning of Words in Online Human-Computer Interaction
- Learning to Rank Features for Recommendation over Multiple Categories
- Aspect-Specific Sentimental Word Embedding for Sentiment Analysis of Online Reviews
- Accurate and scalable social recommendation using mixed-membership stochastic block models
- Sherlock: Sparse Hierarchical Embeddings for Visually-Aware One-Class Collaborative Filtering
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