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  1. Information Retrieval

    Linked via "vector space models"

    Foundational Models
    Early $\text{IR}$ systems were dominated by symbolic and exact matching methods. However, contemporary practice is overwhelmingly governed by probabilistic models and vector space models, which allow for partial matches and ranking based on estimated utility.
    The Boolean Model

  2. Information Retrieval

    Linked via "Vector Space Model"

    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…