References
- TensorFlow: A system for large-scale machine learning
- The use of the area under the ROC curve in the evaluation of machine learning algorithms
- Core modeling at Instagram
- Apache FlinkTM: Stream and Batch Processing in a Single Engine
- Wide & Deep Learning for Recommender Systems
- Deep Neural Networks for YouTube Recommendations
- Online Learning for Recommendations at Grubhub
- A survey on concept drift adaptation
- DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
- The Architectural Implications of Facebook’s DNN-Based Personalized Recommendation
- The MovieLens Datasets: History and Context
- XDL: an industrial deep learning framework for high-dimensional sparse data
- Kafka: a Distributed Messaging System for Log Processing
- Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters
- Distributed Training Optimization for TensorFlow in Recommender Systems
- Cuckoo Hashing
- PyTorch: An Imperative Style, High-Performance Deep Learning Library
- The Hadoop Distributed File System
- Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data
- Kraken: Memory-Efficient Continual Learning for Large-Scale Real-Time Recommendations
- AIBox: CTR Prediction Model Training on a Single Node