Retrieving "Query" from the archives

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  1. Information Retrieval

    Linked via "query"

    Information Retrieval ($\text{IR}$) is the discipline concerned with the systematic recovery of information artifacts—typically documents or structured data—that satisfy an information need from within large collections. Unlike database querying, which requires exact matches to structured predicates, $\text{IR}$ systems address the vagueness inherent in human language and subjective relevance judgments. The co…
  2. Information Retrieval

    Linked via "query"

    Probabilistic Models
    Probabilistic $\text{IR}$ models aim to estimate the probability that a document is relevant to a query, conditioned on the observed term distributions. The Binary Independence Model ($\text{BIM}$) assumes term occurrences are statistically independent, a premise often violated in natural language but mathematically convenient. More advanced models, such as the Probabilistic Relevance Model ($\text{PRM}$), use [feedback loops](/entries/feed…