Tags
tech/ml/dnn
- Background
- Overview
- Recommender Systems: A Primer [2302.02579]
- Deep Learning based Recommender System: A Survey and New Perspectives [1707.07435]
- Building Recommendation Systems in Python and JAX [Book]
- Uplimit - Personalized Recommendations at Scale [Course]
- DLRM
- TorchRec (uses DLRM)
- https://pytorch.org/blog/introducing-torchrec/
- https://github.com/pytorch/torchrec
- https://github.com/pytorch/torchrec/blob/main/Torchrec_Introduction.ipynb
- Candidate Generation using Two Tower Embeddings (uses TorchRec)
- Understanding the Two-Tower Model in Personalized Recommendation Systems | HackerNoon
- Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations
- Deep Neural Networks for YouTube Recommendations
- https://blog.x.com/engineering/en_us/topics/insights/2022/model-based-candidate-generation-for-account-recommendations
- Pinterest Home Feed Unified Lightweight Scoring: A Two-tower Approach
- Related Pins at Pinterest: The Evolution of a Real-World Recommender System [1702.07969]
- Innovative Recommendation Applications Using Two Tower Embeddings β Uber
- Embedding-based Retrieval with Two-Tower Models in Spotlight β Snap
- Building a Two-Tower Model with Merlin Models β NVIDIA
- Ranking of candidates
- Recommending What Video to Watch Next: A Multitask Ranking System
- Multi-task Learning for Related Products Recommendations at Pinterest
- Scaling the Instagram Explore recommendations system - Engineering at Meta
- Real-time
- In Production
- Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta [2311.09544]
- GPU-accelerated ML Inference at Pinterest
- https://github.com/twitter/the-algorithm
- LLMs