AI-powered search

Introducing AI-powered search

Working with natural language

Ranking and content-based relevance

Crowdsourced relevance

Knowledge graph learning

Using context to understand domain-specific language

Interpreting query intent through semantic search

Signals-boosting models

Pearsonalized search

Learning to rank for generalizable search relevance

Automating learning to rank with click models

Overcoming ranking bias through active learning

Semantic search with dense vectors

Question answering with a fine-tuned large language model

Foundation models and emerging search paradigms.