Text Indexing
Text indexing is the process of creating a structured map of words or phrases in a large body of text to enable quick and efficient searching. This technique forms the core of modern search technologies, like those in databases and search engines, by transforming raw data into searchable formats that handle billions of queries daily while adapting to nuances such as synonyms and misspellings.
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The first practical text indexing system, known as the 'inverted index,' was pioneered in the 1960s by computer scientist Hans Peter Luhn at IBM, revolutionizing information retrieval long before the internet. Today, this technology processes over 8.5 billion Google searches per day, equivalent to every person on Earth performing more than one search.
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