mlsanityData to 7 Oct 2026

Scalable Hyperbolic Recommender Systems

arXiv 1902.08648 ↗First posted 22 Feb 2019cs.IR cs.LG stat.MLcited by 19

Not on the map. Why?

Abstract (arXiv)

We present a large scale hyperbolic recommender system. We discuss why hyperbolic geometry is a more suitable underlying geometry for many recommendation systems and cover the fundamental milestones and insights that we have gained from its development. In doing so, we demonstrate the viability of hyperbolic geometry for recommender systems, showing that they significantly outperform Euclidean models on datasets with the properties of complex networks. Key to the success of our approach are the novel choice of underlying hyperbolic model and the use of the Einstein midpoint to define an asymmetric recommender system in hyperbolic space. These choices allow us to scale to millions of users and hundreds of thousands of items.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Feb 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 3; 2023: 3; 2024: 2; 2025: 4; 2026: 1.

19 papers.

Sort:

  1. 2021Hyperbolic Deep Neural Networks: A Surveycited by 138
  2. 2023Hyperbolic Deep Learning in Computer Vision: A Surveycited by 72
  3. 2022The Numerical Stability of Hyperbolic Representation Learningcited by 46
  4. 2021Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systemscited by 24
  5. 2024A Fashion Item Recommendation Model in Hyperbolic Spacecited by 7
  6. 2021HSR: Hyperbolic Social Recommendercited by 5
  7. 2021tensorflow-riemopt: A Library for Optimization on Riemannian Manifoldscited by 5
  8. 2021HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendationcited by 4
  9. 2022AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval Systemcited by 4
  10. 2023SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifoldscited by 4
  11. 2021Augmenting the User-Item Graph with Textual Similarity Modelscited by 3
  12. 2022Poincar'e Heterogeneous Graph Neural Networks for Sequential Recommendationcited by 2
7 more
  1. 2023Time-aware Hyperbolic Graph Attention Network for Session-based Recommendationcited by 2
  2. 2025A group-theoretic framework for machine learning in hyperbolic spacescited by 2
  3. 2025Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchiescited by 1
  4. 2024Reinforcement Learning in Hyperbolic Spaces: Models and Experimentscited by 0
  5. 2025Cartan Networks: Group theoretical Hyperbolic Deep Learningcited by 0
  6. 2025Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendationscited by 0
  7. 2026Riemannian Dueling Optimizationcited by 0