Information Retrieval
Information retrieval is the process of obtaining relevant data from a large collection, such as documents or databases, using systematic methods to match queries with stored information. In modern contexts, it's essential for powering search engines and AI systems, helping us navigate the overwhelming flood of digital content with speed and precision.
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The concept of information retrieval was first formalized in the 1950s by researchers at IBM, including Hans Peter Luhn, who developed early automatic indexing systems that influenced modern search. Today, it powers tools like Google's algorithm, which handles over 99,000 searches per second globally, connecting billions of users to information in real-time.
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