Search Engine Insights

Grant discusses how search engines evaluate the relevance of documents to queries, highlighting two primary approaches: probabilistic models and vector space models. He explains the mathematical basis of these models and the importance of refining rankings through practice datasets and user feedback. The complexity of ranking algorithms is underscored, especially in large companies that continuously optimize their search results.