Query document matching: How are queries matched with documents in information retrieval?
This podcast episode deals with an article by Olaf Kopp, who explains different techniques of query-document matching in search engines. He starts with traditional lexical methods such as exact matching and TF-IDF, which are based on word matches. It then describes modern neural approaches such as dense retrieval and cross-encoder models that take semantic relationships into account. Generative Retrieval, a newer approach that generates documents directly, is also presented. Finally, Hybrid Query Matching is explained, which combines the strengths of different methods to optimize speed and accuracy. The article provides an overview of the advantages and disadvantages of each technique.https://www.kopp-online-marketing.com/query-document-matching-how-are-queries-matched-with-documents-in-information-retrieval