Day 32 two tower model architecture (recommendation engine)

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Topic : Two Tower Model Architecture (Recommendation engine)

Article Source :

• Two Tower Model Architecture: Current State and Promising Extensions
• ContextGNN: Beyond Two-Tower Recommendation Systems

TL;DR :

A two-tower model is a deep learning architecture, often used in recommendation systems and information retrieval, that uses two separate neural networks, or “towers,” to encode user and item features into embeddings. These embeddings are then combined to make predictions about user-item interactions.