Online Experiment

DataFunTalk

Mar 6, 2023 · Artificial Intelligence

Explainable Recommendation Algorithms at Alibaba Health: System Design, Feature Engineering, and Experimental Results

This article presents Alibaba Health's exploration of explainable recommendation algorithms, covering business context, data preparation, feature extraction and encoding, model architecture combining selection and prediction components, experimental offline and online results, and a detailed Q&A on implementation challenges and future directions.

AIAlibaba HealthOnline Experiment

0 likes · 12 min read

Explainable Recommendation Algorithms at Alibaba Health: System Design, Feature Engineering, and Experimental Results

DataFunTalk

Jan 20, 2023 · Artificial Intelligence

Practice of Causal Inference Based on Representation Learning: RCT Standards, Joint Tree‑Neural Modeling, RCT‑ODB Fusion, and Feature Decomposition

This article presents a comprehensive industrial‑level guide to causal inference using representation learning, covering proper RCT experiment design, joint modeling of tree and neural networks, fusion of RCT with observational data, and advanced feature‑decomposition techniques to mitigate bias.

Feature DecompositionOnline ExperimentRCT

0 likes · 22 min read

Practice of Causal Inference Based on Representation Learning: RCT Standards, Joint Tree‑Neural Modeling, RCT‑ODB Fusion, and Feature Decomposition