Generative Semi-Supervised Pre-trained Learning to Rank Model for Web-Scale Search

A generative semi-supervised pre-trained learning to rank (GS2P) model is proposed to address the challenges of lack of well-annotated query-webpage pairs and inadequately trained models in large-scale web search engines.