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.