Examples of org.terrier.matching.models.DLH13

org.terrier.matching.models.DLH13
This class implements the DLH13 weighting model. This is a parameter-free weighting model. Even if the user specifies a parameter value, it will NOT affect the results. It is highly recomended to use the model with query expansion.
References
1. University of Glasgow at TREC 2005: Experiments in Terabyte and Enterprise Tracks with Terrier. Craig Macdonald, Ben He, Vassilis Plachouras and Iadh Ounis. In Proceedings of TREC 2005.
2. Frequentist and Bayesian approach to Information Retrieval. G. Amati. In Proceedings of the 28th European Conference on IR Research (ECIR 2006). LNCS vol 3936, pages 13--24.
@author Gianni Amati, Ben He, Vassilis Plachouras

    assertEquals(1, index.getCollectionStatistics().getNumberOfDocuments());
    Matching matching = makeMatching(index);
    assertNotNull(matching);
    MatchingQueryTerms mqt = new MatchingQueryTerms();
    mqt.setTermProperty("quick", 1);
    mqt.setDefaultTermWeightingModel(new DLH13());
    ResultSet rs = matching.match("query1", mqt);
    assertNotNull(rs);
    assertEquals(1, rs.getResultSize());
    assertEquals(0, rs.getDocids()[0]);
    assertTrue(rs.getScores()[0] > 0);

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    MatchingQueryTerms mqt;
    ResultSet rs;
    
    mqt = new MatchingQueryTerms();
    mqt.setTermProperty("quick", 1);
    mqt.setDefaultTermWeightingModel(new DLH13());
    rs = matching.match("query1", mqt);
    assertNotNull(rs);
    assertEquals(1, rs.getResultSize());
    assertEquals(0, rs.getDocids()[0]);
    assertTrue(rs.getScores()[0] > 0);
    
    mqt = new MatchingQueryTerms();
    mqt.setTermProperty("dog", 1);
    mqt.setDefaultTermWeightingModel(new DLH13());
    rs = matching.match("query2", mqt);
    assertNotNull(rs);
    assertEquals(2, rs.getResultSize());    
    assertTrue(rs.getScores()[0] > 0);
    assertTrue(rs.getScores()[1] > 0);

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    MatchingQueryTerms mqt;
    ResultSet rs;
    
    mqt = new MatchingQueryTerms();
    mqt.setTermProperty("quick|waggily");
    mqt.setDefaultTermWeightingModel(new DLH13());
    rs = matching.match("query1", mqt);
    assertNotNull(rs);
    assertEquals(2, rs.getResultSize());
    TIntHashSet docids = new TIntHashSet(rs.getDocids());
    System.err.println("" + rs.getDocids()[0] + " "+ rs.getScores()[0]);

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    assertEquals(1, index.getCollectionStatistics().getNumberOfDocuments());
    Matching matching = makeMatching(index);
    assertNotNull(matching);
    
    MatchingQueryTerms mqt = new MatchingQueryTerms();
    mqt.setDefaultTermWeightingModel(new DLH13());
    LexiconEntry le = index.getLexicon().getLexiconEntry("quick");
    assertNotNull(le);
    le.setStatistics(1, 40);
    mqt.setTermProperty("quick", le);
    ResultSet rs = matching.match("query1", mqt);

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Related Classes of org.terrier.matching.models.DLH13

org.terrier.matching.TestMatching

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