Research map / Label-efficient and robust learning / Recognition and long-tail
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add CNN visual features with learned visual embedding | BPR-MF · Amazon Women All Items | AUC: 0.7020 -> 0.7834 | Helped |
| add CNN visual features | BPR-MF · cold start items (avg) | AUC: more than 28% | Helped |
| add CNN visual features | BPR-MF · Tradesy.com Cold Start | AUC: 0.5241 -> 0.7594 | Helped |
| add CNN visual features | BPR-MF · Amazon Phones All Items | AUC: 0.7918 -> 0.8052 | Helped |
| VBPR instead of content-based IBR | IBR · Amazon Phones Cold Start | AUC: 0.6319 -> 0.6056 | Hurt |
| pairwise VBPR vs point-wise WRMF | WRMF · all datasets avg | AUC: 14.3% all items, 20.3% cold start | Helped |
| increase number of factors (ablation) | VBPR, BPR-MF, MM-MF · Amazon | AUC | Helped |
Closest papers by meaning
- Preference Diffusion for Recommendation (ICLR 2025 · similarity 0.87)
- A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings (ICML 2025 · similarity 0.86)
- VisualLens: Personalization through Task-Agnostic Visual History (NeurIPS 2025 · similarity 0.85)
- Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond (ICLR 2024 · similarity 0.85)
- Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization (ICML 2025 · similarity 0.85)
- Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations (ICML 2024 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.