Recommendation System

Personalized Restaurant Rating with a Two-Tower Embedding Variant

, I’d wish to share a practical variation of Uber’s Two-Tower Embedding (TTE) approach for cases where each user-related data and computing resources are limited. The issue got here from a high traffic discovery...

Why MAP and MRR Fail for Search Rating (and What to Use As an alternative)

often use Mean Reciprocal Rank (MRR) and Mean Average Precision (MAP) to evaluate the standard of their rankings. On this post, we are going to discuss why (MAP) and (MRR) poorly aligned with modern user behavior in...

Connecting the Dots for Higher Movie Recommendations

guarantees of retrieval-augmented generation (RAG) is that it allows AI systems to reply questions using up-to-date or domain-specific information, without retraining the model. But most RAG pipelines still treat documents and knowledge as...

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