Computer Science Researchers at Bytedance Developed Monolith: a Collisionless Optimised Embedding Table for Deep Learning-Based Real-Time Recommendations in a Memory-Efficient Way

Over the past decade, a surge in the number of businesses powered by recommendation techniques has been observed. Delivering personalized content for each user as a real-time response is a common goal of these business applications in pursuit of a better customer experience. To that end, information from a user’s most recent interaction is frequently […]

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