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    Monolith

    Monolith

    Jan 09, 20251 min read

    • recommenders

    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

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