Examples of org.apache.lucene.search.Similarity.queryNorm()

org.apache.lucene.search.Similarity.queryNorm()

Computes the normalization value for a query given the sum of the squared weights of each of the query terms. This value is multiplied into the weight of each query term. While the classic query normalization factor is computed as 1/sqrt(sumOfSquaredWeights), other implementations might completely ignore sumOfSquaredWeights (ie return 1).

This does not affect ranking, but the default implementation does make scores from different queries more comparable than they would be by eliminating the magnitude of the Query vector as a factor in the score. @param sumOfSquaredWeights the sum of the squares of query term weights @return a normalization factor for query weights


        return new DefaultSimilarity() {


          @Override
          public float queryNorm(final float sumOfSquaredWeights) {
            return base.queryNorm(sumOfSquaredWeights);
          }




          @Override
          public float coord(final int overlap, final int max) {

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