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Lightweight Real-Time Recommendation System
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This project is a lightweight recommendation system open-sourced by ByteDance, designed to improve the accuracy and real-time performance of recommendation systems. Built on TensorFlow, it supports features such as collisionless embedding tables, batch and real-time training, enabling rapid response to user behavior changes and timely model updates to enhance recommendation effectiveness.

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