Document Expansion
Also known as: Query Prediction, Document Enrichment
An information retrieval technique that enhances a document by augmenting it with additional terms or predicted queries that users might use to search for that content. Methods like DocTTTTTQuery use sequence-to-sequence machine learning models to generate likely search queries from document content, improving the chances that the document will be retrieved for relevant searches. In accessibility contexts, document expansion can improve website navigability by helping users find content more efficiently, supporting WCAG Guideline 2.4 requirements around helping users navigate and find content.
Category: information retrieval · machine learning · web accessibility
Related: Web Navigation · Reinforcement Learning · Natural Language Processing