Lecture
This lecture covers the SMART approximation scheme for optimal query vectors, where users identify relevant documents from a result set. It discusses modifying queries to approximate optimal queries using tuning parameters. It also explores pseudo-relevance feedback, weighting schemes, query expansion, and automatic thesaurus generation.