Package es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir

Classes and definitions of algorithms based on information retrieval (IR) models.
  • Class Summary 
    Class Description
    BIR<U>
    Binary independent retrieval algorithm, using a term-based query processing mechanism.
    BM25<U>
    Adaptation of the BM-25 Information Retrieval Algorithm for user recommendation.
    DFRee<U>
    Class that applies the DFRee Divergence from Randomness model as a contact recommendation algorithm.
    DFReeKLIM<U>
    Class that applies the DFReeKLIM Divergence from Randomness model as a contact recommendation algorithm.
    DLH<U>
    Class that applies the DLH Divergence from Randomness model as a contact recommendation algorithm.
    DPH<U>
    Class that applies the DPH Divergence from Randomness model as a contact recommendation algorithm.
    EBM25<U>
    Adaptation of an extreme version of the BM25 algorithm, where the k parameter tends to infinity, without term discrimination.
    PivotedNormalizationVSM<U>
    Adaptation of the pivoted normalization vector space model (VSM).
    PL2<U>
    Class that applies the PL2 Divergence from Randomness model as a contact recommendation algorithm.
    QLD<U>
    Adaptation of the Query Likelihood Information Retrieval method, with Dirichlet regularization.
    QLJM<U>
    Adaptation of the Query Likelihood Information Retrieval method, with Jelinek-Mercer regularization.
    QLL<U>
    Adaptation of the Query Likelihood Information Retrieval method, with Laplace regularization.
    TerrierRecommender<U>
    IR-based recommender models created using the Terrier library.
    VSM<U>
    Adaptation of the TF-IDF method of Information Retrieval for user recommendation