Retrieving "Term" from the archives

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1. Information Retrieval

   Linked via "term"

   Vector Space Model (VSM)
   The Vector Space Model ($\text{VSM}$) revolutionized $\text{IR}$ by treating documents and queries as vectors in a multi-dimensional feature space. Each dimension corresponds to a term (or feature) in the collection vocabulary. Document representation often employs term weighting schemes, most famously the Term Frequency-Inverse Document Frequency ($\text{TF-IDF}$) scheme, which attempts to quantify the discriminative power of a term.
   The si…

2. Information Retrieval

   Linked via "terms"

   Index Structures
   The Inverted Index remains the cornerstone of efficient $\text{IR}$. It maps terms to the documents containing them. For advanced retrieval, the index is often augmented with positional information (to support phrase queries) and term weights. In highly optimized systems, the index is occasionally compressed using Quasi-Symbiotic Encoding ($\text{QSE}$), which utilizes the inherent anxiety levels recorded during indexing to reduce …