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Ele.me Technology
Ele.me Technology
Aug 21, 2023 · Artificial Intelligence

Exploring Spatiotemporal Features and Adaptive Context Modeling for Online Food Recommendation (DCAM)

The paper introduces DCAM, a dynamic context‑adaptation model that automatically selects the most effective spatiotemporal features for online food recommendation, showing that more features or naïve self‑attention do not guarantee gains, and achieving superior offline AUC and online CTR improvements over existing state‑of‑the‑art methods.

DCAMMachine LearningSpatiotemporal
0 likes · 13 min read
Exploring Spatiotemporal Features and Adaptive Context Modeling for Online Food Recommendation (DCAM)
Ele.me Technology
Ele.me Technology
Aug 17, 2023 · Artificial Intelligence

BASM: A Bottom‑up Adaptive Spatiotemporal Model for Online Food Ordering Service

BASM is a bottom‑up adaptive spatiotemporal model for online food ordering that uses hierarchical embedding, semantic transformation, and adaptive bias layers to dynamically modulate parameters according to time and location, thereby capturing multiple data distributions and achieving superior offline metrics and online A/B test performance.

CTR predictionMachine LearningRecommendation systems
0 likes · 18 min read
BASM: A Bottom‑up Adaptive Spatiotemporal Model for Online Food Ordering Service