mlsanityData to 7 Oct 2026

A Fashion Item Recommendation Model in Hyperbolic Space

arXiv 2409.02599 ↗First posted 4 Sep 2024cs.IR cs.CV cs.LGcited by 7

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Abstract (arXiv)

In this work, we propose a fashion item recommendation model that incorporates hyperbolic geometry into user and item representations. Using hyperbolic space, our model aims to capture implicit hierarchies among items based on their visual data and users' purchase history. During training, we apply a multi-task learning framework that considers both hyperbolic and Euclidean distances in the loss function. Our experiments on three data sets show that our model performs better than previous models trained in Euclidean space only, confirming the effectiveness of our model. Our ablation studies show that multi-task learning plays a key role, and removing the Euclidean loss substantially deteriorates the model performance.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 32 of its 65 references that are in the map. First posted on arXiv 4 Sep 2024.

Builds on

32 of 65 references.

References · 32

  1. 2015Rethinking the Inception Architecture for Computer Visioncited by 5,451
  2. 2017Poincar'e Embeddings for Learning Hierarchical Representationscited by 674
  3. 2016Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filteringcited by 517
  4. 2018Hyperbolic Neural Networkscited by 393
  5. 2018Representation Tradeoffs for Hyperbolic Embeddingscited by 204
  6. 2018Riemannian Adaptive Optimization Methodscited by 187
  7. 2018Hyperbolic Entailment Cones for Learning Hierarchical Embeddingscited by 160
  8. 2018Poincar'e GloVe: Hyperbolic Word Embeddingscited by 155
  9. 2015VBPR: Visual Bayesian Personalized Ranking from Implicit Feedbackcited by 151
  10. 2021Hyperbolic Deep Neural Networks: A Surveycited by 138
  11. 2023Hyperbolic Image-Text Representationscited by 132
  12. 2018Hyperbolic Attention Networkscited by 122
20 more
  1. 2022Hyperbolic Image Segmentationcited by 101
  2. 2022Hyperbolic Contrastive Learning for Visual Representations beyond Objectscited by 58
  3. 2021Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifierscited by 56
  4. 2021A Hyperbolic-to-Hyperbolic Graph Convolutional Networkcited by 53
  5. 2018HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systemscited by 47
  6. 2017Visually-Aware Fashion Recommendation and Design with Generative Image Modelscited by 43
  7. 2017Latent Relational Metric Learning via Memory-based Attention for Collaborative Rankingcited by 38
  8. 2022A Review of Modern Fashion Recommender Systemscited by 25
  9. 2017Hyperbolic Representation Learning for Fast and Efficient Neural Question Answeringcited by 23
  10. 2022The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generationcited by 22
  11. 2018Skip-gram word embeddings in hyperbolic spacecited by 19
  12. 2019Scalable Hyperbolic Recommender Systemscited by 19
  13. 2022Hyperbolic Uncertainty Aware Semantic Segmentationcited by 17
  14. 2020Performance of Hyperbolic Geometry Models on Top-N Recommendation Taskscited by 13
  15. 2024Understanding Hyperbolic Metric Learning through Hard Negative Samplingcited by 10
  16. 2019Learning Feature Interactions with Lorentzian Factorization Machinecited by 8
  17. 2021Hyperbolic Neural Collaborative Recommendercited by 6
  18. 2023Hyperbolic Geometry in Computer Vision: A Surveycited by 4
  19. 2019Music Recommendations in Hyperbolic Space: An Application of Empirical Bayes and Hierarchical Poincar'e Embeddingscited by 2
  20. 2022Bayesian Hyperbolic Multidimensional Scalingcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 3; 2026: 3.

7 papers.