Uber Improves Restaurant Recommendations Using Real-Time Signals and Listwise Ranking

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Posted on Fri May 22 2026 | 8:02 pm

Uber updates its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model. The system evolves from hand-crafted features to transformer-based sequence modeling, reduces feature freshness from 24 hours to seconds, and shifts from pointwise scoring to listwise GenRec for improved contextual ranking and real-time personalization.

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