Author

Ele.me Technology

Creating a better life through technology

Articles

Likes

Views

Comments

Latest from Ele.me Technology

14 recent articles

Ele.me Technology

Aug 22, 2023 · Artificial Intelligence

Multi-Granularity Attention Model for Group Recommendation (MGAM)

The Multi‑Granularity Attention Model (MGAM) improves group recommendation by extracting subset, group, and superset preferences through hierarchical attention and graph neural networks, fusing them via self‑attention, and achieves state‑of‑the‑art offline results and a 1.2% online CTR lift in Alibaba’s local‑life services.

AIRecommendation Systemsattention model

0 likes · 18 min read

Multi-Granularity Attention Model for Group Recommendation (MGAM)

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.

DCAMSpatiotemporalcontext adaptation

0 likes · 13 min read

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

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 predictionRecommendation Systemsadaptive parameters

0 likes · 18 min read

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

Ele.me Technology

Aug 16, 2023 · Artificial Intelligence

Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location‑Based Services

The paper introduces StEN, a spatiotemporal-enhanced network for CTR prediction in location-based services, combining static spatiotemporal feature activation, dynamic preference activation, and target attention, achieving state-of-the-art offline results and a 1.6% CTR lift in online tests.

Recommendation Systemsclick-through ratedeep learning

0 likes · 19 min read

Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location‑Based Services