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It is the most popular data structure used in document retrieval systems, used on a large scale for example in search engines.

Additionally, several significant general-purpose mainframe-based database management systems have used inverted list architectures, including ADABAS, DATACOM/DB, and Model 204.

Our user could reasonably expect both documents to match the query. If we normalize the terms into a standard format, then we can find documents that contain terms that are not exactly the same as the user requested, but are similar enough to still be relevant.

In computer science, an inverted index (also referred to as postings file or inverted file) is an index data structure storing a mapping from content, such as words or numbers, to its locations in a database file, or in a document or a set of documents (named in contrast to a Forward Index, which maps from documents to content).

Compatibility notes are provided in this document, describing how file formats have changed from prior versions.