Optimizing Question‑Answer Search Similarity in Haodf Online: A Semantic Similarity Model Case Study
This article describes how Haodf Online improved its medical question‑answer search by analyzing search challenges, adopting semantic similarity models based on pre‑trained language embeddings, designing contrastive training tasks, and evaluating the resulting increase in click‑through rate and user engagement.
