Mar 21, 2024 · Artificial Intelligence

How FIN Boosts CTR in Online Food Ordering: A Spatial‑Temporal Modeling Breakthrough

The paper introduces FIN (Fragment and Integrate Network), a novel spatial‑temporal model that extracts multiple sub‑sequences from ultra‑long user behavior logs, applies simplified and multi‑head attention, and fuses them with physically meaningful set operations, achieving up to 5.7% CTR lift and 7.3% RPM improvement in real‑world food‑delivery advertising.

AICTR predictionLong Sequence Modeling

0 likes · 23 min read

How FIN Boosts CTR in Online Food Ordering: A Spatial‑Temporal Modeling Breakthrough

JD Tech Talk

Jan 28, 2021 · Artificial Intelligence

Spatial‑Temporal Graph Diffusion Network for City Traffic Flow Forecasting

This article introduces a hierarchical graph neural network model that jointly captures multi‑scale temporal patterns and global spatial context for urban traffic flow prediction, demonstrates its superiority over existing methods on multiple public datasets, and validates each component through extensive ablation studies.

Graph Neural Networkattentiondeep learning

0 likes · 8 min read

Spatial‑Temporal Graph Diffusion Network for City Traffic Flow Forecasting