Package es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir
Classes and definitions of algorithms based on information retrieval (IR) models.
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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